From 84141629bd8538c8e7b45b28c4bd64a516338a9e Mon Sep 17 00:00:00 2001 From: sciome-bot Date: Fri, 4 Oct 2024 11:35:15 -0400 Subject: [PATCH 1/9] Recode genetic algo and combine population and ll vectors into a tuple of vectors to keep them in sync --- src/include/statmod.h | 263 +++++++++++++++--------------------------- 1 file changed, 91 insertions(+), 172 deletions(-) diff --git a/src/include/statmod.h b/src/include/statmod.h index c00424e..47d43e1 100644 --- a/src/include/statmod.h +++ b/src/include/statmod.h @@ -39,9 +39,11 @@ #include "binomModels.h" #include "log_likelihoods.h" #include "seeder.h" +#include #include #include #include +#include #include #pragma once @@ -433,68 +435,49 @@ std::vector startValue_F(statModel *M, Eigen::MatrixXd startV, bool isBig = true) { std::vector x(M->nParms()); - // size of the initial population int NI = (isBig) ? 1000 : 500; + + // Use a vector of pairs to keep likelihood values and population entries in + // sync. + std::vector> population_with_scores(NI + + 1); + Seeder *seeder = Seeder::getInstance(); // List of the likelihood values; std::vector llist(NI + 1, std::numeric_limits::infinity()); // list of the population parameters std::vector population(NI + 1); - double test_l; - // make sure start value is within our bounds - for (unsigned int i = 0; i < lb.size(); i++) { + // Ensure the starting value is within bounds + for (unsigned int i = 0; i < lb.size(); ++i) { if (startV(i, 0) < lb[i] || startV(i, 0) > ub[i]) { startV(i, 0) = lb[i]; } } Eigen::MatrixXd test = startV; - Seeder *seeder = Seeder::getInstance(); - population[NI] = startV; - llist[NI] = M->negPenLike(test); + population_with_scores[NI] = {M->negPenLike(test), startV}; // create the initial population of size (NI) random starting points for the - // genetic algorithm double initial_temp; - for (int i = 0; i < NI; i++) { - // generate new value to be within the specified bounds - // for (int j = 0; j < M->nParms(); j++) { - // test(j, 0) = - // startV(j, 0) + seeder->get_ran_flat(); // random number in the - // bounds - - // if (test(j, 0) > ub[j]) { - // test(j, 0) = ub[j]; - // } - // if (test(j, 0) < lb[j]) { - // test(j, 0) = lb[j]; - // } - // } - for (int j = 0; j < M->nParms(); j++) { + // genetic algorithm + for (int i = 0; i < NI; ++i) { + for (int j = 0; j < M->nParms(); ++j) { test(j, 0) = lb[j] + seeder->get_uniform() * (ub[j] - lb[j]); } - - test_l = M->negPenLike(test); - // put the new value in sorted order based upon likelihood - // score - auto it = std::lower_bound(llist.begin(), llist.end(), test_l); - llist.insert(it, test_l); - population.insert(population.begin() + std::distance(llist.begin(), it), - test); - } - // look for bad population entries and keep llist and population in sync - auto it_pop1 = population.begin(); - auto it_llist = llist.begin(); - while (it_pop1 != population.end()) { - if (it_pop1->size() == 0) { - it_pop1 = population.erase(it_pop1); - it_llist = llist.erase(it_llist); - } else { - ++it_pop1; - ++it_llist; - } + double test_l = M->negPenLike(test); + population_with_scores[i] = {test_l, test}; } + // Sort population based on likelihood values (ascending order) + std::sort(population_with_scores.begin(), population_with_scores.end(), + [](const auto &a, const auto &b) { return a.first < b.first; }); + + // Look for invalid entries (those with empty matrices) and remove them + auto it_pop = std::remove_if( + population_with_scores.begin(), population_with_scores.end(), + [](const auto &pair) { return pair.second.size() == 0; }); + population_with_scores.erase(it_pop, population_with_scores.end()); + if (population.size() <= 25) { // couln't find a good starting point return the starting value // and pray @@ -504,157 +487,93 @@ std::vector startValue_F(statModel *M, Eigen::MatrixXd startV, } // Now do the Genetic algoritm thing. - // first trim the population to allow only - // the fittest to procrate - std::vector::iterator it_l = llist.begin(); - std::vector::iterator it_pop = population.begin(); - int tmp = std::min(population.size(), 175); - std::advance(it_l, tmp); - std::advance(it_pop, tmp); - llist.erase(it_l, llist.end()); - population.erase(it_pop, population.end()); - - int ngenerations; - int ntourny; - int tourny_size; - if (isBig) { - ngenerations = 600; - ntourny = 30; - tourny_size = 40; - } else { - ngenerations = 450; - ntourny = 20; - tourny_size = 20; - } + // Trim population to allow only the fittest to propagate + population_with_scores.resize( + std::min(population_with_scores.size(), 175)); - for (int xx = 0; xx < ngenerations; xx++) { + // Set genetic algorithm parameters + int ngenerations = isBig ? 600 : 450; + int ntourny = isBig ? 30 : 20; + int tourny_size = isBig ? 40 : 20; - std::vector tourny_winners; - std::vector tourny_vals; - - for (int ay = 0; ay < ntourny; ay++) { - - std::vector cur_tourny_nll( - tourny_size, std::numeric_limits::infinity()); - std::vector cur_tourny_parms(tourny_size, population[0]); - // make sure there are no entries in the current tourny. - // select the elements from the population - for (int z = 0; z < tourny_size; z++) { - // in each generation there is a tournament - // find the best individual out of tourny_size this individual is - // randomly mutated and differentially evolved based upon the given - // individuals in the tourney. - - // choose which element in the population - int sel = (int)(seeder->get_uniform() * population.size()); - if (sel >= population.size()) { - sel = population.size() - 1; - } - cur_tourny_nll[z] = it_l[sel]; - cur_tourny_parms[z] = population[sel]; + for (int xx = 0; xx < ngenerations; xx++) { + std::vector> new_candidates; + + // Tournament selection and evolution + for (int ay = 0; ay < ntourny; ++ay) { + std::vector> cur_tourney(tourny_size); + // Select individuals for the tournament + for (int z = 0; z < tourny_size; ++z) { + int sel = static_cast(seeder->get_uniform() * + population_with_scores.size()); + sel = + std::min(sel, static_cast(population_with_scores.size()) - 1); + cur_tourney[z] = population_with_scores[sel]; } + // Find the best individual in the tournament + auto best = *std::min_element( + cur_tourney.begin(), cur_tourney.end(), + [](const auto &a, const auto &b) { return a.first < b.first; }); - // find the best - double best_nll = cur_tourny_nll[0]; - Eigen::MatrixXd best_parm = cur_tourny_parms[0]; + // Randomly select another individual for differential evolution + int idx = 1 + static_cast(seeder->get_uniform() * + (cur_tourney.size() - 1)); + Eigen::MatrixXd temp_delta = best.second - cur_tourney[idx].second; - for (int z = 1; z < tourny_size; z++) { - if (cur_tourny_nll[z] < best_nll) { - best_nll = cur_tourny_nll[z]; - best_parm = cur_tourny_parms[0]; - } - } - // the best is the zero element - // randomly select another element to find the diference - bool correctBounds = true; - - int idx = - 1 + (int)(seeder->get_uniform() * (cur_tourny_parms.size() - 1)); - if (idx >= cur_tourny_parms.size()) { - idx = cur_tourny_parms.size() - 1; - } - Eigen::MatrixXd temp_delta = best_parm - cur_tourny_parms[idx]; - // Create a new child as a mix between the best and some other - // value. + // Create a new child using differential evolution and perturbation Eigen::MatrixXd child = - best_parm + 0.8 * temp_delta * (2 * seeder->get_uniform() - 1); - correctBounds = true; - - for (int iii = 0; iii < M->nParms(); iii++) { - // perterb the individual values in the child - child(iii, 0) = child(iii, 0) + 0.2 * abs(child(iii, 0)) * - (2 * seeder->get_uniform() - 1); - if (lb[iii] > child(iii, 0) || ub[iii] < child(iii, 0)) { - correctBounds = false; - break; - } + best.second + 0.8 * temp_delta * (2 * seeder->get_uniform() - 1); + + // Apply random perturbation and ensure bounds + for (int iii = 0; iii < M->nParms(); ++iii) { + child(iii, 0) = + std::clamp(child(iii, 0) + 0.2 * std::abs(child(iii, 0)) * + (2 * seeder->get_uniform() - 1), + lb[iii], ub[iii]); } - if (correctBounds) { - test_l = M->negPenLike(child); - } else { - test_l = std::numeric_limits::infinity(); - } + // Evaluate the new child + double child_l = M->negPenLike(child); - // Insert the new child into the population if it's better than the worst - auto it = std::lower_bound(llist.begin(), llist.end(), test_l); - if (test_l < llist.back()) { - int insert_idx = std::distance(llist.begin(), it); - llist.pop_back(); - population.pop_back(); - llist.insert(it, test_l); - population.insert(population.begin() + insert_idx, child); + // Insert the new child if it improves upon the worst in the population + if (child_l < population_with_scores.back().first) { + new_candidates.push_back({child_l, child}); } } - - it_l = llist.begin(); - it_pop = population.begin(); - - if (llist.size() >= 100) { - std::advance(it_l, 100); - } else { - std::advance(it_l, llist.size()); - } - - if (population.size() >= 100) { - std::advance(it_pop, 100); - } else { - std::advance(it_pop, population.size()); + // Add the new candidates and sort the population again + population_with_scores.insert(population_with_scores.end(), + new_candidates.begin(), new_candidates.end()); + std::sort(population_with_scores.begin(), population_with_scores.end(), + [](const auto &a, const auto &b) { return a.first < b.first; }); + + // Prune population to keep only the top 100 candidates + if (population_with_scores.size() > 100) { + population_with_scores.resize(100); } - - llist.erase(it_l, llist.end()); - population.erase(it_pop, population.end()); - } - - if (population.size() > 0) { - test = population[0]; // the fittest is our starting value } - + // The best candidate is the new starting value + test = population_with_scores[0].second; double t1 = M->negPenLike(test); double t2 = M->negPenLike(startV); - if (t2 < t1) { // the random search was no better than the first value. + // Revert to the original starting value if the genetic search did not improve + if (t2 < t1) { test = startV; } - bool found_nans = false; - for (int i = 0; i < M->nParms(); i++) { - if (isnan(test(i, 0))) { - found_nans = true; + + // Check for NaN values in the final result + for (int i = 0; i < M->nParms(); ++i) { + if (std::isnan(test(i, 0))) { + test = startV; // Something went wrong; revert to the original value + break; } } - if (found_nans) { // something really messed up revert to initial - // starting values - test = startV; - } - - for (int i = 0; i < M->nParms(); i++) - x[i] = test(i, 0); - for (int i = 0; i < M->nParms(); i++) { - if (!isnormal(x[i])) { - x[i] = 0; - } + // Assign the final result to the output vector + for (int i = 0; i < M->nParms(); ++i) { + x[i] = std::isnormal(test(i, 0)) ? test(i, 0) : 0; } + return x; } From 1dbf9800e51b19171be1a2864b0c279409da2484 Mon Sep 17 00:00:00 2001 From: sciome-bot Date: Fri, 4 Oct 2024 12:25:32 -0400 Subject: [PATCH 2/9] Correctly initialize nlopt object --- src/include/cBMDstatmod.h | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/src/include/cBMDstatmod.h b/src/include/cBMDstatmod.h index 51e8652..c479e1b 100644 --- a/src/include/cBMDstatmod.h +++ b/src/include/cBMDstatmod.h @@ -261,7 +261,7 @@ double cBMDModel::returnBMD(Eigen::MatrixXd theta, contbmd BMDType, // void *data : Extra data needed. In this case, it is a // statModel object, // which is used to -//compute the negative penalized likelihood +// compute the negative penalized likelihood ////////////////////////////////////////////////////////////////// template double cequality_constraint(unsigned n, const double *b, double *grad, @@ -439,7 +439,7 @@ optimizationResult cfindMAX_W_EQUALITY(cBMDModel *M, // void *data : Extra data needed. In this case, it is a // statModel object, // which is used to -//compute the negative penalized likelihood +// compute the negative penalized likelihood ////////////////////////////////////////////////////////////////// template double neg_pen_likelihood_contbound(unsigned n, const double *b, double *grad, @@ -567,12 +567,12 @@ optimizationResult cfindMAX_W_BOUND(cBMDModel *M, Eigen::MatrixXd start, opt.set_maxeval(20000); nlopt::opt opt3(nlopt::LN_SBPLX, vecSize); - opt.set_initial_step(1e-4); - opt.set_min_objective(neg_pen_likelihood_contbound, &info); - opt.set_lower_bounds(lb); - opt.set_upper_bounds(ub); - opt.set_xtol_abs(5e-4); - opt.set_maxeval(20000); + opt3.set_initial_step(1e-4); + opt3.set_min_objective(neg_pen_likelihood_contbound, &info); + opt3.set_lower_bounds(lb); + opt3.set_upper_bounds(ub); + opt3.set_xtol_abs(5e-4); + opt3.set_maxeval(20000); /////////////////////////////////////////////////////////////////////////////// // if(M->modelling_type() == cont_model::gamma_aerts){ @@ -663,8 +663,8 @@ optimizationResult cfindMAX_W_BOUND(cBMDModel *M, Eigen::MatrixXd start, /////////////////////////////////////////////////////////////////////////////// // Function profile_BMDNC(dBMDModel *M, -// bool isExtra, // true if -//it is +// bool isExtra, // true +//if it is // false if it is added double // BMR, double BMDchange, double totalChange, bool robust) Purpose: This // function iteratively changes the BMD by a BMDchange% From 143fd4eaa9078dc5e91e2ec260591886622b1d5f Mon Sep 17 00:00:00 2001 From: sciome-bot Date: Fri, 4 Oct 2024 14:05:36 -0400 Subject: [PATCH 3/9] Avoid mapping memory of a vector to a Eigen matrix. Instead copy the vector in for better memory management in parallel --- src/include/cBMDstatmod.h | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/src/include/cBMDstatmod.h b/src/include/cBMDstatmod.h index c479e1b..bd4aaa2 100644 --- a/src/include/cBMDstatmod.h +++ b/src/include/cBMDstatmod.h @@ -635,21 +635,23 @@ optimizationResult cfindMAX_W_BOUND(cBMDModel *M, Eigen::MatrixXd start, << ", good_opt= " << good_opt); } // cout << "Opt "<< good_opt << endl; - std::vector xxx(x.size() + 1); + Eigen::MatrixXd xxx = Eigen::MatrixXd::Zero(M->nParms(), 1); + // std::vector xxx(x.size() + 1); count = 0; for (int i = 0; i < M->nParms(); i++) { if (i != p_remove) { - xxx[i] = x[count]; + xxx(i, 0) = x[count]; count++; } } if (good_opt) { // if the opimization criteria worked x = M->bound_fix(xxx, BMDType, BMRF, tail_prob, BMD, isInc); - Eigen::Map d(x.data(), M->nParms(), 1); // return values + Eigen::MatrixXd result_matrix = Eigen::MatrixXd::Zero(x.size(), 1); + result_matrix = x; oR.result = result; oR.functionV = minf; - oR.max_parms = d; + oR.max_parms = result_matrix; } else { oR.result = result; oR.functionV = std::numeric_limits::quiet_NaN(); @@ -664,7 +666,7 @@ optimizationResult cfindMAX_W_BOUND(cBMDModel *M, Eigen::MatrixXd start, /////////////////////////////////////////////////////////////////////////////// // Function profile_BMDNC(dBMDModel *M, // bool isExtra, // true -//if it is +// if it is // false if it is added double // BMR, double BMDchange, double totalChange, bool robust) Purpose: This // function iteratively changes the BMD by a BMDchange% From 3646b4e9a7616ee0b559bb54f1817670df6f9c76 Mon Sep 17 00:00:00 2001 From: sciome-bot Date: Fri, 4 Oct 2024 16:48:17 -0400 Subject: [PATCH 4/9] Avoid mapping memory of a vector to a Eigen matrix. Instead copy the vector in for better memory management in parallel --- src/include/cBMDstatmod.h | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/src/include/cBMDstatmod.h b/src/include/cBMDstatmod.h index bd4aaa2..bc679c9 100644 --- a/src/include/cBMDstatmod.h +++ b/src/include/cBMDstatmod.h @@ -647,8 +647,7 @@ optimizationResult cfindMAX_W_BOUND(cBMDModel *M, Eigen::MatrixXd start, if (good_opt) { // if the opimization criteria worked x = M->bound_fix(xxx, BMDType, BMRF, tail_prob, BMD, isInc); - Eigen::MatrixXd result_matrix = Eigen::MatrixXd::Zero(x.size(), 1); - result_matrix = x; + Eigen::MatrixXd result_matrix = x; oR.result = result; oR.functionV = minf; oR.max_parms = result_matrix; From 99e296d0c5d619c9c9ee5abc08c79192352a61c3 Mon Sep 17 00:00:00 2001 From: sciome-bot Date: Fri, 4 Oct 2024 16:53:40 -0400 Subject: [PATCH 5/9] Avoid mapping memory of a vector to a Eigen matrix. Instead copy the vector in for better memory management in parallel --- src/include/cBMDstatmod.h | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/src/include/cBMDstatmod.h b/src/include/cBMDstatmod.h index bc679c9..bd4aaa2 100644 --- a/src/include/cBMDstatmod.h +++ b/src/include/cBMDstatmod.h @@ -647,7 +647,8 @@ optimizationResult cfindMAX_W_BOUND(cBMDModel *M, Eigen::MatrixXd start, if (good_opt) { // if the opimization criteria worked x = M->bound_fix(xxx, BMDType, BMRF, tail_prob, BMD, isInc); - Eigen::MatrixXd result_matrix = x; + Eigen::MatrixXd result_matrix = Eigen::MatrixXd::Zero(x.size(), 1); + result_matrix = x; oR.result = result; oR.functionV = minf; oR.max_parms = result_matrix; From 56db1f26a39f925951acdb7aa45d7fbcdc8e28c0 Mon Sep 17 00:00:00 2001 From: sciome-bot Date: Fri, 4 Oct 2024 17:03:06 -0400 Subject: [PATCH 6/9] Avoid mapping memory of a vector to a Eigen matrix. Instead copy the vector in for better memory management in parallel --- src/include/cBMDstatmod.h | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/src/include/cBMDstatmod.h b/src/include/cBMDstatmod.h index bd4aaa2..576ce35 100644 --- a/src/include/cBMDstatmod.h +++ b/src/include/cBMDstatmod.h @@ -648,7 +648,9 @@ optimizationResult cfindMAX_W_BOUND(cBMDModel *M, Eigen::MatrixXd start, if (good_opt) { // if the opimization criteria worked x = M->bound_fix(xxx, BMDType, BMRF, tail_prob, BMD, isInc); Eigen::MatrixXd result_matrix = Eigen::MatrixXd::Zero(x.size(), 1); - result_matrix = x; + for (int i = 0; i < x.size(); ++i) { + result_matrix(i, 0) = x[i]; + } oR.result = result; oR.functionV = minf; oR.max_parms = result_matrix; From dd3477e34a89523973e987871b2de38beddc2c7f Mon Sep 17 00:00:00 2001 From: sciome-bot Date: Tue, 15 Oct 2024 14:35:45 -0400 Subject: [PATCH 7/9] revert to vector for good_opt --- src/include/cBMDstatmod.h | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/src/include/cBMDstatmod.h b/src/include/cBMDstatmod.h index 576ce35..3dbec58 100644 --- a/src/include/cBMDstatmod.h +++ b/src/include/cBMDstatmod.h @@ -514,11 +514,12 @@ optimizationResult cfindMAX_W_BOUND(cBMDModel *M, Eigen::MatrixXd start, double minf = 0; nlopt::result result = nlopt::FAILURE; int vecSize = start.rows() - 1; - std::vector x(vecSize); // drop the number of parameters by 1 + // std::vector x(vecSize); // drop the number of parameters by 1 std::vector lb(vecSize); std::vector ub(vecSize); Eigen::MatrixXd datal = M->parmLB(); Eigen::MatrixXd datau = M->parmUB(); + Eigen::MatrixXd x = Eigen::MatrixXd::Zero(vecSize, 1); // drop the number of parameters by 1 int count = 0; /////////////////////////////////////////////////////////////////////////////// // remove the extra parameter from the list @@ -635,12 +636,12 @@ optimizationResult cfindMAX_W_BOUND(cBMDModel *M, Eigen::MatrixXd start, << ", good_opt= " << good_opt); } // cout << "Opt "<< good_opt << endl; - Eigen::MatrixXd xxx = Eigen::MatrixXd::Zero(M->nParms(), 1); - // std::vector xxx(x.size() + 1); + // Eigen::MatrixXd xxx = Eigen::MatrixXd::Zero(M->nParms(), 1); + std::vector xxx(x.size() + 1); count = 0; for (int i = 0; i < M->nParms(); i++) { if (i != p_remove) { - xxx(i, 0) = x[count]; + xxx[i] = x[count]; count++; } } From 56b95c28df58d932964dc86fae8a4687557b5661 Mon Sep 17 00:00:00 2001 From: sciome-bot Date: Fri, 8 Nov 2024 10:17:22 -0500 Subject: [PATCH 8/9] Fix ASAN/Valgrind issues caused by LLVM and clang due to nlopt exceptions. Removed OpenMP --- .Rbuildignore | 1 + .gitattributes | 1 + .github/workflows/builds.yml | 4 +- .github/workflows/cran-check.yml | 52 +- .github/workflows/mac-check.yml | 81 + .github/workflows/rhub.yaml | 95 + .github/workflows/sanitizer.yml | 2 - .gitignore | 4 +- CHANGELOG.md | 5 +- DESCRIPTION | 6 +- R/RcppExports.R | 94 +- R/continuous_wrappers.R | 605 +++--- R/dichotomous_wrappers.R | 13 +- R/model_averaging_fits.R | 23 +- R/opening_messages.R | 21 +- cleanup | 1 + src/Makevars.in | 8 +- src/Makevars.ucrt | 8 +- src/Makevars.win | 9 +- src/RcppExports.cpp | 390 ++-- src/code_base/DichGammaBMD_NC.cpp | 15 +- src/code_base/DichLogProbitBMD_NC.cpp | 15 +- src/code_base/DichLogisticBMD_NC.cpp | 15 +- src/code_base/DichProbitBMD_NC.cpp | 15 +- src/code_base/DichQlinearBMD_NC.cpp | 15 +- src/code_base/DichWeibullBMD_NC.cpp | 15 +- src/code_base/IDPrior.cpp | 15 +- src/code_base/IDPriorMCMC.cpp | 15 +- src/code_base/analysis_of_deviance.cpp | 14 +- src/code_base/bmdStruct.cpp | 14 +- src/code_base/continuous_clean_aux.cpp | 14 +- src/code_base/continuous_clean_aux.h | 14 +- src/code_base/continuous_entry_code.cpp | 1641 ++++++++--------- src/code_base/continuous_entry_code.h | 24 +- src/code_base/continuous_model_functions.cpp | 14 +- src/code_base/continuous_model_functions.h | 15 +- src/code_base/dichotomous_entry_code.cpp | 124 +- src/code_base/dichotomous_entry_code.h | 3 +- src/code_base/gradient.cpp | 15 +- src/code_base/gradient.h | 19 +- src/code_base/helperfunctions.cpp | 15 +- src/code_base/lognormalModels.cpp | 15 +- src/code_base/lognormal_EXP_NC.cpp | 15 +- src/code_base/lognormal_EXP_aerts_NC.cpp | 15 +- src/code_base/lognormal_GAMMA_aerts_NC.cpp | 15 +- src/code_base/lognormal_GAMMA_efsa_NC.cpp | 15 +- src/code_base/lognormal_HILL_NC.cpp | 15 +- src/code_base/lognormal_HILL_aerts_NC.cpp | 15 +- src/code_base/lognormal_IEXP_aerts_NC.cpp | 15 +- src/code_base/lognormal_IGAMMA_aerts_NC.cpp | 15 +- src/code_base/lognormal_ILOGSKEW_aerts_NC.cpp | 15 +- src/code_base/lognormal_ILOMAX_aerts_NC.cpp | 15 +- src/code_base/lognormal_LMS_NC.cpp | 15 +- src/code_base/lognormal_LOGISTIC_aerts_NC.cpp | 15 +- .../lognormal_LOGNORMAL_aerts_NC.cpp | 15 +- src/code_base/lognormal_LOGSKEW_aerts_NC.cpp | 15 +- src/code_base/lognormal_LOMAX_aerts_NC.cpp | 15 +- src/code_base/lognormal_POLYNOMIAL_NC.cpp | 15 +- src/code_base/lognormal_POWER_NC.cpp | 15 +- src/code_base/lognormal_PROBIT_aerts_NC.cpp | 15 +- src/code_base/normalModels.cpp | 15 +- src/code_base/normal_EXP_NC.cpp | 15 +- src/code_base/normal_EXP_aerts_NC.cpp | 15 +- src/code_base/normal_FUNL_NC.cpp | 15 +- src/code_base/normal_GAMMA_aerts_NC.cpp | 15 +- src/code_base/normal_GAMMA_efsa_NC.cpp | 15 +- src/code_base/normal_HILL_NC.cpp | 15 +- src/code_base/normal_HILL_aerts_NC.cpp | 15 +- src/code_base/normal_IEXP_aerts_NC.cpp | 15 +- src/code_base/normal_IGAMMA_aerts_NC.cpp | 15 +- src/code_base/normal_ILOGSKEW_aerts_NC.cpp | 15 +- src/code_base/normal_ILOMAX_aerts_NC.cpp | 15 +- src/code_base/normal_LMS_NC.cpp | 15 +- src/code_base/normal_LOGISTIC_aerts_NC.cpp | 15 +- src/code_base/normal_LOGNORMAL_aerts_NC.cpp | 15 +- src/code_base/normal_LOGSKEW_aerts_NC.cpp | 15 +- src/code_base/normal_LOMAX_aerts_NC.cpp | 15 +- src/code_base/normal_POLYNOMIAL_NC.cpp | 15 +- src/code_base/normal_POWER_NC.cpp | 15 +- src/code_base/normal_PROBIT_aerts_NC.cpp | 15 +- src/code_base/seeder.cpp | 3 + src/code_base/skewnorm_optim.cpp | 15 +- src/include/DichGammaBMD_NC.h | 15 +- src/include/DichHillBMD_NC.h | 15 +- src/include/DichLogLogisticBMD_NC.h | 15 +- src/include/DichLogProbitBMD_NC.h | 15 +- src/include/DichLogisticBMD_NC.h | 15 +- src/include/DichMultistageBMD_NC.h | 15 +- src/include/DichProbitBMD_NC.h | 15 +- src/include/DichQlinearBMD_NC.h | 15 +- src/include/DichWeibullBMD_NC.h | 15 +- src/include/IDPrior.h | 15 +- src/include/IDPriorMCMC.h | 15 +- src/include/binomModels.h | 15 +- src/include/binomialTests.h | 15 +- src/include/bmd_calculate.h | 64 +- src/include/cBMDstatmod.h | 38 +- src/include/dBMDstatmod.h | 68 +- src/include/log_likelihoods.h | 15 +- src/include/lognormalModels.h | 15 +- src/include/lognormalTests.h | 15 +- src/include/lognormal_EXP_NC.h | 15 +- src/include/lognormal_EXP_aerts_NC.h | 15 +- src/include/lognormal_GAMMA_aerts_NC.h | 15 +- src/include/lognormal_GAMMA_efsa_NC.h | 15 +- src/include/lognormal_HILL_NC.h | 15 +- src/include/lognormal_HILL_aerts_NC.h | 15 +- src/include/lognormal_IEXP_aerts_NC.h | 15 +- src/include/lognormal_IGAMMA_aerts_NC.h | 15 +- src/include/lognormal_ILOGSKEW_aerts_NC.h | 15 +- src/include/lognormal_ILOMAX_aerts_NC.h | 15 +- src/include/lognormal_LMS_NC.h | 15 +- src/include/lognormal_LOGISTIC_aerts_NC.h | 15 +- src/include/lognormal_LOGNORMAL_aerts_NC.h | 15 +- src/include/lognormal_LOGSKEW_aerts_NC.h | 15 +- src/include/lognormal_LOMAX_aerts_NC.h | 15 +- src/include/lognormal_POLYNOMIAL_NC.h | 15 +- src/include/lognormal_POWER_NC.h | 15 +- src/include/lognormal_PROBIT_aerts_NC.h | 15 +- src/include/lognormal_likelihoods.h | 15 +- src/include/mcmc_analysis.h | 15 +- src/include/mcmc_struct.h | 15 +- src/include/normalModels.h | 15 +- src/include/normalTests.h | 15 +- src/include/normal_EXP_NC.h | 15 +- src/include/normal_EXP_aerts_NC.h | 15 +- src/include/normal_FUNL_NC.h | 15 +- src/include/normal_GAMMA_aerts_NC.h | 15 +- src/include/normal_GAMMA_efsa_NC.h | 15 +- src/include/normal_HILL_NC.h | 15 +- src/include/normal_HILL_aerts_NC.h | 15 +- src/include/normal_IEXP_aerts_NC.h | 15 +- src/include/normal_IGAMMA_aerts_NC.h | 15 +- src/include/normal_ILOGSKEW_aerts_NC.h | 15 +- src/include/normal_ILOMAX_aerts_NC.h | 15 +- src/include/normal_LMS_NC.h | 15 +- src/include/normal_LOGISTIC_aerts_NC.h | 15 +- src/include/normal_LOGNORMAL_aerts_NC.h | 15 +- src/include/normal_LOGSKEW_aerts_NC.h | 15 +- src/include/normal_LOMAX_aerts_NC.h | 15 +- src/include/normal_POLYNOMIAL_NC.h | 15 +- src/include/normal_POWER_NC.h | 15 +- src/include/normal_PROBIT_aerts_NC.h | 15 +- src/include/normal_likelihoods.h | 15 +- src/include/normal_lomax_NC.h | 15 +- src/include/probit_hill_NC.h | 15 +- src/include/seeder.h | 79 +- src/include/skewnorm_optim.h | 15 +- src/include/statisticalmodel.h | 15 +- src/include/statmod.h | 134 +- src/main_entry.cpp | 94 +- src/main_entry_ma.cpp | 33 +- src/main_entry_mcmc.cpp | 30 +- src/main_polyk.cpp | 14 +- src/main_seeder.cpp | 5 - src/nlopt-src.tar.gz | Bin 2052827 -> 6865259 bytes src/polyK/polyK_setup.cpp | 6 +- src/polyK/polyK_setup.h | 6 +- src/scripts/nlopt_cleanup.sh | 3 + src/scripts/nlopt_download.sh | 2 +- src/set_omp_threads.cpp | 27 +- tests/testthat/helper.R | 6 +- tests/testthat/test-bounds.R | 2 +- tests/testthat/test-ma_continuous.R | 140 +- tests/testthat/test-omp.R | 24 + tests/testthat/test-seeder.R | 17 + 166 files changed, 3106 insertions(+), 2703 deletions(-) create mode 100644 .gitattributes create mode 100644 .github/workflows/mac-check.yml create mode 100644 .github/workflows/rhub.yaml create mode 100644 src/code_base/seeder.cpp create mode 100644 tests/testthat/test-omp.R create mode 100644 tests/testthat/test-seeder.R diff --git a/.Rbuildignore b/.Rbuildignore index b19adc1..e860384 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -1,4 +1,5 @@ ^.*\.Rproj$ +^.*\.Rcheck$ ^\.DS_Store$ ^\.(RData|Rhistory|RProj\.user)$ ^\.gitignore$ diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..6160f65 --- /dev/null +++ b/.gitattributes @@ -0,0 +1 @@ +configure.ac text eol=lf \ No newline at end of file diff --git a/.github/workflows/builds.yml b/.github/workflows/builds.yml index a47b3e4..829151c 100644 --- a/.github/workflows/builds.yml +++ b/.github/workflows/builds.yml @@ -11,8 +11,8 @@ name: Valgrind Check on: pull_request: branches: [ "main" ] - # push: - # branches: [ "github-actions-build" ] + push: + branches: [ "seeder-valgrind" ] workflow_dispatch: diff --git a/.github/workflows/cran-check.yml b/.github/workflows/cran-check.yml index 3b8955e..d15f38b 100644 --- a/.github/workflows/cran-check.yml +++ b/.github/workflows/cran-check.yml @@ -9,6 +9,8 @@ permissions: jobs: cran-check: + env: + GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} strategy: fail-fast: false matrix: @@ -18,13 +20,9 @@ jobs: {os: "windows-latest", r: "release", compiler_version: 15}, {os: "windows-latest", r: "devel", compiler_version: 15}, {os: "macos-latest", r: "release", compiler_version: 15}, - {os: "macos-latest", r: "devel", compiler_version: 15}, + # {os: "macos-latest", r: "devel", compiler_version: 15}, {os: "macos-latest", r: "release", compiler_version: 14}, ] - # os: [ubuntu-latest] - # r: ['release'] - # compiler: ['clang'] - # compiler_version: [14, 17] runs-on: ${{matrix.os}} name: ${{ matrix.os }}_${{ matrix.r}} steps: @@ -56,54 +54,26 @@ jobs: with: extra-packages: any::rcmdcheck, any::roxygen2 needs: check - - name: Setup compiler + - name: Install mac-r-tools if: runner.os == 'macOs' - uses: KyleMayes/install-llvm-action@v2 - with: - version: ${{matrix.compiler_version}} - env: true - directory: ".." - - name: Setup Xcode - if: runner.os == 'macOs' - uses: maxim-lobanov/setup-xcode@v1 - with: - xcode-version: latest + run: | + install.packages("remotes") + remotes::install_github("coatless-mac/macrtools") + macrtools::macos_rtools_install() + shell: Rscript {0} - name: Build and Check ToxicR if: runner.os != 'Windows' run: | - R CMD build . - file config.log - cat config.log r_output=$(R CMD build .) - echo "$r_output" - package_name=$(echo "$r_output" | sed -n "s/.*building ‘\([^’]*\.tar\.gz\)’.*/\1/p") - echo "$package_name" + package_name=$(echo "$r_output" | sed -n "s/.*building ‘\([^’]*\.tar\.gz\)’.*/\1/p") R CMD check --as-cran --no-manual $package_name - file ToxicR.Rcheck/00install.log - file ToxicR/ToxicR.Rcheck/00install.log - cat ToxicR.Rcheck/00install.log - cat ToxicR.Rcheck/00check.log shell: bash working-directory: "." - name: Build and Check ToxicR if: runner.os == 'Windows' run: | r_output=$(R CMD build .) - echo "$r_output" package_name=$(echo "$r_output" | sed -n "s/.*building '\([^']*\.tar\.gz\)'.*/\1/p") - echo "$package_name" R CMD check --as-cran --no-manual $package_name - file ToxicR.Rcheck/00install.log - file ToxicR/ToxicR.Rcheck/00install.log - cat ToxicR.Rcheck/00install.log - cat ToxicR.Rcheck/00check.log shell: bash - working-directory: "." - # - name: Show testthat output - # if: always() - # run: | - # echo ::group::Show testthat output - # find check -name 'testthat.Rout*' -exec cat '{}' \; || true - # echo ::endgroup:: - # shell: bash - # working-directory: "." \ No newline at end of file + working-directory: "." \ No newline at end of file diff --git a/.github/workflows/mac-check.yml b/.github/workflows/mac-check.yml new file mode 100644 index 0000000..b7cb848 --- /dev/null +++ b/.github/workflows/mac-check.yml @@ -0,0 +1,81 @@ +name: MacOS check + +on: + push: + branches: [ "bk_omp" ] + workflow_dispatch: + +permissions: + contents: read + +jobs: + cran-check: + env: + GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }} + strategy: + fail-fast: false + matrix: + include: [ + {os: "macos-latest", r: "release", compiler_version: 15}, + {os: "macos-latest", r: "release", compiler_version: 14}, + ] + runs-on: ${{matrix.os}} + name: ${{ matrix.os }}_${{ matrix.r}}_${{matrix.compiler_version}} + steps: + - uses: actions/checkout@v4 + - uses: r-lib/actions/setup-r@v2 + with: + r-version: ${{matrix.r}} + - uses: awalsh128/cache-apt-pkgs-action@latest + if: runner.os == 'Linux' + with: + packages: | + cmake cmake-data gsl dh-elpa-helper libcmark-gfm-extensions0.29.0.gfm.3 + libcmark-gfm0.29.0.gfm.3 libcurl4-openssl-dev libjsoncpp25 librhash0 + pandoc pandoc-data texlive-latex-base texlive-latex-recommended + texlive-fonts-recommended + version: 1.0 + - name: Restore R package cache (Linux) + if: runner.os == 'Linux' + id: cache-packages + uses: actions/cache@v4 + with: + key: r-${{ hashFiles('DESCRIPTION') }} + path: ${{ env.R_LIBS_USER }} + - name: Install GSL (macOS) + if: runner.os == 'macOs' + run: | + brew install gsl openssl + - uses: r-lib/actions/setup-r-dependencies@v2 + with: + extra-packages: any::rcmdcheck, any::roxygen2 + needs: check + - name: Install mac-r-tools + if: runner.os == 'macOs' + run: | + install.packages("remotes") + remotes::install_github("coatless-mac/macrtools") + macrtools::macos_rtools_install() + shell: Rscript {0} + - name: Build and Check ToxicR + if: runner.os == 'Linux' + run: | + R CMD build . + r_output=$(R CMD build .) + echo "$r_output" + package_name=$(echo "$r_output" | sed -n "s/.*building ‘\([^’]*\.tar\.gz\)’.*/\1/p") + echo "$package_name" + R CMD check --as-cran --no-manual $package_name + shell: bash + working-directory: "." + - name: Build and Check ToxicR (MacOs) + if: runner.os == 'macOs' + run: | + R CMD build . + r_output=$(R CMD build .) + echo "$r_output" + package_name=$(echo "$r_output" | sed -n "s/.*building ‘\([^’]*\.tar\.gz\)’.*/\1/p") + echo "$package_name" + R CMD check --as-cran --no-manual $package_name + shell: bash + working-directory: "." \ No newline at end of file diff --git a/.github/workflows/rhub.yaml b/.github/workflows/rhub.yaml new file mode 100644 index 0000000..74ec7b0 --- /dev/null +++ b/.github/workflows/rhub.yaml @@ -0,0 +1,95 @@ +# R-hub's generic GitHub Actions workflow file. It's canonical location is at +# https://github.com/r-hub/actions/blob/v1/workflows/rhub.yaml +# You can update this file to a newer version using the rhub2 package: +# +# rhub::rhub_setup() +# +# It is unlikely that you need to modify this file manually. + +name: R-hub +run-name: "${{ github.event.inputs.id }}: ${{ github.event.inputs.name || format('Manually run by {0}', github.triggering_actor) }}" + +on: + workflow_dispatch: + inputs: + config: + description: 'A comma separated list of R-hub platforms to use.' + type: string + default: 'linux,windows,macos' + name: + description: 'Run name. You can leave this empty now.' + type: string + id: + description: 'Unique ID. You can leave this empty now.' + type: string + +jobs: + + setup: + runs-on: ubuntu-latest + outputs: + containers: ${{ steps.rhub-setup.outputs.containers }} + platforms: ${{ steps.rhub-setup.outputs.platforms }} + + steps: + # NO NEED TO CHECKOUT HERE + - uses: r-hub/actions/setup@v1 + with: + config: ${{ github.event.inputs.config }} + id: rhub-setup + + linux-containers: + needs: setup + if: ${{ needs.setup.outputs.containers != '[]' }} + runs-on: ubuntu-latest + name: ${{ matrix.config.label }} + strategy: + fail-fast: false + matrix: + config: ${{ fromJson(needs.setup.outputs.containers) }} + container: + image: ${{ matrix.config.container }} + + steps: + - uses: r-hub/actions/checkout@v1 + - uses: r-hub/actions/platform-info@v1 + with: + token: ${{ secrets.RHUB_TOKEN }} + job-config: ${{ matrix.config.job-config }} + - uses: r-hub/actions/setup-deps@v1 + with: + token: ${{ secrets.RHUB_TOKEN }} + job-config: ${{ matrix.config.job-config }} + - uses: r-hub/actions/run-check@v1 + with: + token: ${{ secrets.RHUB_TOKEN }} + job-config: ${{ matrix.config.job-config }} + + other-platforms: + needs: setup + if: ${{ needs.setup.outputs.platforms != '[]' }} + runs-on: ${{ matrix.config.os }} + name: ${{ matrix.config.label }} + strategy: + fail-fast: false + matrix: + config: ${{ fromJson(needs.setup.outputs.platforms) }} + + steps: + - uses: r-hub/actions/checkout@v1 + - uses: r-hub/actions/setup-r@v1 + with: + job-config: ${{ matrix.config.job-config }} + token: ${{ secrets.RHUB_TOKEN }} + - uses: r-hub/actions/platform-info@v1 + with: + token: ${{ secrets.RHUB_TOKEN }} + job-config: ${{ matrix.config.job-config }} + - uses: r-hub/actions/setup-deps@v1 + with: + job-config: ${{ matrix.config.job-config }} + token: ${{ secrets.RHUB_TOKEN }} + - uses: r-hub/actions/run-check@v1 + with: + job-config: ${{ matrix.config.job-config }} + token: ${{ secrets.RHUB_TOKEN }} diff --git a/.github/workflows/sanitizer.yml b/.github/workflows/sanitizer.yml index a911ba7..a824b4a 100644 --- a/.github/workflows/sanitizer.yml +++ b/.github/workflows/sanitizer.yml @@ -3,8 +3,6 @@ name: UBSAN/ASAN Checks on: pull_request: branches: [ "main" ] - push: - branches: [ "github-actions-build", "brian-bk22-plotting-patch", "bounds-check-testing" ] workflow_dispatch: diff --git a/.gitignore b/.gitignore index 7b0abf5..a84e173 100644 --- a/.gitignore +++ b/.gitignore @@ -1,8 +1,10 @@ *.o *.so +*.Rproj .Rproj.user .Rhistory .vscode/* .RData *.tar.gz -*.dll \ No newline at end of file +*.dll +install.sh diff --git a/CHANGELOG.md b/CHANGELOG.md index 8d83ffb..1c1aeca 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,7 +1,8 @@ # Changes -## Version 23.10.1.2.0 -## The following cumulative fixes are in version 23.10.1.2.0 +## Version 23.10.1.2.4 +## The following cumulative fixes are in version 23.10.1.2.4 - Add the ability to set a seed for nlopt and GSL to allow for consistent results +- Set additional checks and guards for openMP ## New Features - Added setseedGSL function with a default seed value of 12331 ## Version 23.10.1.1.1 diff --git a/DESCRIPTION b/DESCRIPTION index 08a321d..027edc7 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,8 +1,8 @@ Package: ToxicR Type: Package Title: Analyzing Toxicology Dose-Response Data -Version: 24.1.1.2.1 -Date: 2024-07-02 +Version: 24.1.1.2.4 +Date: 2024-08-24 Authors@R: c( person(given = "Matt", @@ -77,7 +77,7 @@ Imports: Rcpp (>= 1.0.0), ggplot2 (>= 3.3.2), shiny (>= 1.5.0), coda (>= 0.19-4), scales (>= 1.1.1), forcats, ggridges (>= 0.5.3), doBy (>= 4.6.11), multcomp (>= 1.4), dplyr (>= 1.0.7), remotes LinkingTo: Rcpp, RcppEigen, RcppGSL -RoxygenNote: 7.3.1 +RoxygenNote: 7.3.2 Encoding: UTF-8 VignetteBuilder: knitr Suggests: plotly (>= 4.9.2.1), rmarkdown, actuar (>= 3.2-0),ggpubr (>= diff --git a/R/RcppExports.R b/R/RcppExports.R index 213733a..ce794dd 100644 --- a/R/RcppExports.R +++ b/R/RcppExports.R @@ -1,47 +1,47 @@ -# Generated by using Rcpp::compileAttributes() -> do not edit by hand -# Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393 - -.owenst_fn <- function(x, fx) { - .Call(`_ToxicR_owenst_fn`, x, fx) -} - -.run_single_dichotomous <- function(model, data, pr, options1, options2) { - .Call(`_ToxicR_run_single_dichotomous`, model, data, pr, options1, options2) -} - -.run_continuous_single <- function(model, Y, X, prior, options, dist_type) { - .Call(`_ToxicR_run_continuous_single`, model, Y, X, prior, options, dist_type) -} - -.run_continuous_ma_laplace <- function(model_priors, model_type, dist_type, Y, X, options) { - .Call(`_ToxicR_run_continuous_ma_laplace`, model_priors, model_type, dist_type, Y, X, options) -} - -.run_continuous_ma_mcmc <- function(model_priors, model_type, dist_type, Y, X, options) { - .Call(`_ToxicR_run_continuous_ma_mcmc`, model_priors, model_type, dist_type, Y, X, options) -} - -.run_ma_dichotomous <- function(data, priors, models, model_p, is_MCMC, options1, options2) { - .Call(`_ToxicR_run_ma_dichotomous`, data, priors, models, model_p, is_MCMC, options1, options2) -} - -.run_dichotomous_single_mcmc <- function(model, Y, D, pr, options) { - .Call(`_ToxicR_run_dichotomous_single_mcmc`, model, Y, D, pr, options) -} - -.run_continuous_single_mcmc <- function(model, Y, D, priors, options, is_logNormal, suff_stat) { - .Call(`_ToxicR_run_continuous_single_mcmc`, model, Y, D, priors, options, is_logNormal, suff_stat) -} - -.polykCPP <- function(dose, tumor, daysOnStudy) { - .Call(`_ToxicR_polyk`, dose, tumor, daysOnStudy) -} - -.setseedGSL <- function(s) { - invisible(.Call(`_ToxicR_setseedGSL`, s)) -} - -.set_threads <- function(num_threads) { - invisible(.Call(`_ToxicR_set_threads`, num_threads)) -} - +# Generated by using Rcpp::compileAttributes() -> do not edit by hand +# Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393 + +.owenst_fn <- function(x, fx) { + .Call(`_ToxicR_owenst_fn`, x, fx) +} + +.run_single_dichotomous <- function(model, data, pr, options1, options2, seed) { + .Call(`_ToxicR_run_single_dichotomous`, model, data, pr, options1, options2, seed) +} + +.run_continuous_single <- function(model, Y, X, prior, options, dist_type, seed) { + .Call(`_ToxicR_run_continuous_single`, model, Y, X, prior, options, dist_type, seed) +} + +.run_continuous_ma_laplace <- function(model_priors, model_type, dist_type, Y, X, options, seed) { + .Call(`_ToxicR_run_continuous_ma_laplace`, model_priors, model_type, dist_type, Y, X, options, seed) +} + +.run_continuous_ma_mcmc <- function(model_priors, model_type, dist_type, Y, X, options, seed) { + .Call(`_ToxicR_run_continuous_ma_mcmc`, model_priors, model_type, dist_type, Y, X, options, seed) +} + +.run_ma_dichotomous <- function(data, priors, models, model_p, is_MCMC, options1, options2, seed) { + .Call(`_ToxicR_run_ma_dichotomous`, data, priors, models, model_p, is_MCMC, options1, options2, seed) +} + +.run_dichotomous_single_mcmc <- function(model, Y, D, pr, options, seed) { + .Call(`_ToxicR_run_dichotomous_single_mcmc`, model, Y, D, pr, options, seed) +} + +.run_continuous_single_mcmc <- function(model, Y, D, priors, options, is_logNormal, suff_stat, seed) { + .Call(`_ToxicR_run_continuous_single_mcmc`, model, Y, D, priors, options, is_logNormal, suff_stat, seed) +} + +.polykCPP <- function(dose, tumor, daysOnStudy) { + .Call(`_ToxicR_polyk`, dose, tumor, daysOnStudy) +} + +.setseedGSL <- function(s) { + invisible(.Call(`_ToxicR_setseedGSL`, s)) +} + +.set_threads <- function(num_threads) { + .Call(`_ToxicR_set_threads`, num_threads) +} + diff --git a/R/continuous_wrappers.R b/R/continuous_wrappers.R index 6f7a094..7c9d962 100644 --- a/R/continuous_wrappers.R +++ b/R/continuous_wrappers.R @@ -117,340 +117,347 @@ #' ) #' #' summary(model) -single_continuous_fit <- function(D,Y,model_type="hill", fit_type = "laplace", - prior=NA, BMR_TYPE = "sd", +single_continuous_fit <- function(D, Y, model_type = "hill", fit_type = "laplace", + prior = NA, BMR_TYPE = "sd", BMR = 0.1, point_p = 0.01, distribution = "normal-ncv", - alpha = 0.05, samples = 25000, degree=2, + alpha = 0.05, samples = 25000, degree = 2, burnin = 1000, BMD_priors = FALSE, ewald = FALSE, - transform = FALSE, BMD_TYPE = NA, threads = 2, seed = 12331){ - .setseedGSL(seed) - Y <- as.matrix(Y) - D <- as.matrix(D) - - dis_type = which(distribution == c("normal","normal-ncv","lognormal")) - - if (dis_type == 3){ - is_neg = .check_negative_response(Y) - if (is_neg){ - stop("Can't fit a negative response to the log-normal distribution.") - } + transform = FALSE, BMD_TYPE = NA, threads = 2, seed = 12331) { + + # .setseedGSL(seed) + .set_threads(threads) + Y <- as.matrix(Y) + D <- as.matrix(D) + + dis_type = which(distribution == c("normal", "normal-ncv", "lognormal")) + + if (dis_type == 3) { + is_neg = .check_negative_response(Y) + if (is_neg) { + stop("Can't fit a negative response to the log-normal distribution.") } - - DATA <- cbind(D,Y); - test <- .check_for_na(DATA) - Y = Y[test==TRUE,,drop=F] - D = D[test==TRUE,,drop=F] - DATA <- cbind(D,Y); - - - myD = Y; - sstat = F # set sufficient statistics to false if there is only one column - if (ncol(Y) > 1){ - sstat=T + } + + DATA <- cbind(D, Y); + test <- .check_for_na(DATA) + Y = Y[test == TRUE,, drop = F] + D = D[test == TRUE,, drop = F] + DATA <- cbind(D, Y); + + + myD = Y; + sstat = F # set sufficient statistics to false if there is only one column + if (ncol(Y) > 1) { + sstat = T + } + + if (!is.na(prior[1])) { + #parse the prior + if (!("BMD_Bayes_continuous_model" %in% class(prior))) { + stop("Prior is not the correct form. Please use a Bayesian Continuous Prior Model.") } - - if (!is.na(prior[1])){ - #parse the prior - if (!( "BMD_Bayes_continuous_model" %in% class(prior))){ - stop("Prior is not the correct form. Please use a Bayesian Continuous Prior Model.") - } - t_prior_result <- .parse_prior(prior) - distribution <- t_prior_result$distribution - model_type <- t_prior_result$model - prior = t_prior_result$prior - PR = t_prior_result$prior - }else{ - dmodel = which(model_type==.continuous_models) - - if (identical(dmodel, integer(0))){ - stop('Please specify one of the following model types: \n + t_prior_result <- .parse_prior(prior) + distribution <- t_prior_result$distribution + model_type <- t_prior_result$model + prior = t_prior_result$prior + PR = t_prior_result$prior + } else { + dmodel = which(model_type == .continuous_models) + + if (identical(dmodel, integer(0))) { + stop('Please specify one of the following model types: \n "hill","exp-3","exp-5","power","polynomial", "exp-aerts", "invexp-aerts", "gamma-aerts", "invgamma-aerts", "hill-aerts", "lomax-aerts", "invlomax-aerts", "lognormal-aerts", "logskew-aerts", "invlogskew-aerts", "logistic-aerts", "probit-aerts", "LMS", "gamma-efsa"') - } + } - PR = .bayesian_prior_continuous_default(model_type,distribution,degree) - #specify variance of last parameter to variance of response - if(distribution == "lognormal"){ - if (ncol(Y)>1){ - PR$priors[nrow(PR$priors),2]= log(mean(Y[,3])^2) - }else{ - PR$priors[nrow(PR$priors),2] = log(var(log(Y[,1]))) - } - }else{ - if (ncol(Y)>1){ - if (distribution == "normal"){ - PR$priors[nrow(PR$priors),2] = log(mean(Y[,3])^2) - }else{ - PR$priors[nrow(PR$priors),2] = log(abs(mean(Y[1,]))/mean(Y[,3])^2) - } - }else{ - if (distribution == "normal"){ - PR$priors[nrow(PR$priors),2] = log(var(Y[,1])) - }else{ - PR$priors[nrow(PR$priors),2] = log(abs(mean(Y[,1]))/var(Y[,1])) - } - } + PR = .bayesian_prior_continuous_default(model_type, distribution, degree) + #specify variance of last parameter to variance of response + if (distribution == "lognormal") { + if (ncol(Y) > 1) { + PR$priors[nrow(PR$priors), 2] = log(mean(Y[, 3]) ^ 2) + } else { + PR$priors[nrow(PR$priors), 2] = log(var(log(Y[, 1]))) + } + } else { + if (ncol(Y) > 1) { + if (distribution == "normal") { + PR$priors[nrow(PR$priors), 2] = log(mean(Y[, 3]) ^ 2) + } else { + PR$priors[nrow(PR$priors), 2] = log(abs(mean(Y[1,])) / mean(Y[, 3]) ^ 2) + } + } else { + if (distribution == "normal") { + PR$priors[nrow(PR$priors), 2] = log(var(Y[, 1])) + } else { + PR$priors[nrow(PR$priors), 2] = log(abs(mean(Y[, 1])) / var(Y[, 1])) + } } - t_prior_result = create_continuous_prior(PR,model_type,distribution,degree) - PR = t_prior_result$prior } - dmodel = which(model_type==.continuous_models) + t_prior_result = create_continuous_prior(PR, model_type, distribution, degree) + PR = t_prior_result$prior + } + dmodel = which(model_type == .continuous_models) - fit_type = tolower(fit_type) - type_of_fit = which(fit_type == c('laplace','mle','mcmc')) - if (identical(type_of_fit,integer(0))){ - stop("Please choose one of the following fit types: 'laplace','mle','mcmc.' ") - } + fit_type = tolower(fit_type) + type_of_fit = which(fit_type == c('laplace', 'mle', 'mcmc')) + if (identical(type_of_fit, integer(0))) { + stop("Please choose one of the following fit types: 'laplace','mle','mcmc.' ") + } - if(!is.na(BMD_TYPE)){ - warning("BMD_TYPE is deprecated. Please use BMR_TYPE instead") - }else{ - BMD_TYPE = BMR_TYPE - } - - rt = which(BMD_TYPE==c('abs','sd','rel','hybrid')) - - if (rt == 4){ - rt = 6; - } + if (!is.na(BMD_TYPE)) { + warning("BMD_TYPE is deprecated. Please use BMR_TYPE instead") + } else { + BMD_TYPE = BMR_TYPE + } + + rt = which(BMD_TYPE == c('abs', 'sd', 'rel', 'hybrid')) - - if(identical(dis_type,integer(0))){ - stop('Please specify the distribution as one of the following:\n + if (rt == 4) { + rt = 6; + } + + + if (identical(dis_type, integer(0))) { + stop('Please specify the distribution as one of the following:\n "normal","normal-ncv","lognormal"') - } + } - if (ncol(DATA)==4){ - colnames(DATA) = c("Dose","Resp","N","StDev") - }else if (ncol(DATA) == 2){ - colnames(DATA) = c("Dose","Resp") - }else{ - stop("The data do not appear to be in the correct format.") - } - #permute the matrix to the internal C values - # Hill = 6, Exp3 = 3, Exp5 = 5, Power = 8, - # FUNL = 10, aerts = 11-22 - permuteMat = cbind(c(1,2,3,4,5,6,7:20),c(6,3,5,8,10,666, 11:24)) - fitmodel = permuteMat[dmodel,2] - if (fitmodel == 10 && dis_type == 3){ - stop("The FUNL model is currently not defined for Log-Normal distribution.") - } - if (fitmodel == 666 && dis_type == 3){ - stop("Polynomial models are currently not defined for the Log-Normal distribution.") - } - if (fitmodel %in% 11:24 && fit_type == "mle"){ - stop("Aerts models are currently not supported with the frequentist approach.") - } - if(any(PR[,1] >= 4)){ - warning("Gamma and PERT priors are still under development and may be incorrect.") - } - - #Fit to determine direction. - #This is done for the BMD estimate. - model_data = list(); - model_data$X = D; model_data$SSTAT = Y - if (sstat == T){ - temp.fit <- lm(model_data$SSTAT[,1] ~ model_data$X, - weights=(1/model_data$SSTAT[,3]^2)*model_data$SSTAT[,2]) - }else{ - temp.fit <- lm(model_data$SSTAT[,1]~model_data$X) - } - - is_increasing = F - if (coefficients(temp.fit)[2] > 0){ - is_increasing = T - } - - if (!is_increasing){ - if (BMD_TYPE == "rel"){ - BMR = 1-BMR - } - } + if (ncol(DATA) == 4) { + colnames(DATA) = c("Dose", "Resp", "N", "StDev") + } else if (ncol(DATA) == 2) { + colnames(DATA) = c("Dose", "Resp") + } else { + stop("The data do not appear to be in the correct format.") + } + #permute the matrix to the internal C values + # Hill = 6, Exp3 = 3, Exp5 = 5, Power = 8, + # FUNL = 10, aerts = 11-22 + permuteMat = cbind(c(1, 2, 3, 4, 5, 6, 7:20), c(6, 3, 5, 8, 10, 666, 11:24)) + fitmodel = permuteMat[dmodel, 2] + if (fitmodel == 10 && dis_type == 3) { + stop("The FUNL model is currently not defined for Log-Normal distribution.") + } + if (fitmodel == 666 && dis_type == 3) { + stop("Polynomial models are currently not defined for the Log-Normal distribution.") + } + if (fitmodel %in% 11:24 && fit_type == "mle") { + stop("Aerts models are currently not supported with the frequentist approach.") + } + if (any(PR[, 1] >= 4)) { + warning("Gamma and PERT priors are still under development and may be incorrect.") + } - #For MLE - if (type_of_fit == 2){ - .set_threads(threads) - PR = .MLE_bounds_continuous(model_type,distribution,degree, is_increasing) - PR = PR$priors - } + #Fit to determine direction. + #This is done for the BMD estimate. + model_data = list(); + model_data$X = D; + model_data$SSTAT = Y + if (sstat == T) { + temp.fit <- lm(model_data$SSTAT[, 1] ~ model_data$X, + weights = (1 / model_data$SSTAT[, 3] ^ 2) * model_data$SSTAT[, 2]) + } else { + temp.fit <- lm(model_data$SSTAT[, 1] ~ model_data$X) + } - if (distribution == "lognormal"){ - is_log_normal = TRUE - }else{ - is_log_normal = FALSE - } - - if (distribution == "normal-ncv"){ - constVar = FALSE - vt = 2; - }else{ - vt = 1 - constVar = TRUE + is_increasing = F + if (coefficients(temp.fit)[2] > 0) { + is_increasing = T + } + + if (!is_increasing) { + if (BMD_TYPE == "rel") { + BMR = 1 - BMR } + } - if(BMD_priors == TRUE){ - #MLE differences (only for bounds) - if(type_of_fit == 2){ - if(fitmodel == 8){ #power model has different lower bound on 3rd parameter - PR[3,4] <- 1 - } - if(fitmodel == 666){#polynomial model has many changes - if(distribution == "normal-ncv"){ - temp <- nrow(PR) - 2 #NCV term - PR[temp, 5] <- 100 #UB on NCV parameter in 100 - PR[2:(temp-1), 4] <- -10000 - PR[2:(temp-1), 5] <- 10000 - } - if(distribution == 'normal'){ - PR[1,4:5] <- c(-1000, 1000) - if(is_increasing){ - PR[2:(nrow(PR)-1), 4] <- 0.00001 - PR[2:(nrow(PR)-1), 5] <- 18 - } else{ - PR[2:(nrow(PR)-1), 5] <- -0.00001 - PR[2:(nrow(PR)-1), 4] <- -18 - } - } - } - } else{ - if(fitmodel == 3){ #exp-3 - PR[2,] <- c(2,0,6.9,0,10000) - } - if(fitmodel == 6){ #hill - PR[2,] <- c(1,0,1000,-10000, 10000) + #For MLE + if (type_of_fit == 2) { + PR = .MLE_bounds_continuous(model_type, distribution, degree, is_increasing) + PR = PR$priors + } + + if (distribution == "lognormal") { + is_log_normal = TRUE + } else { + is_log_normal = FALSE + } + + if (distribution == "normal-ncv") { + constVar = FALSE + vt = 2; + } else { + vt = 1 + constVar = TRUE + } + + if (BMD_priors == TRUE) { + #MLE differences (only for bounds) + if (type_of_fit == 2) { + if (fitmodel == 8) { + #power model has different lower bound on 3rd parameter + PR[3, 4] <- 1 + } + if (fitmodel == 666) { + #polynomial model has many changes + if (distribution == "normal-ncv") { + temp <- nrow(PR) - 2 #NCV term + PR[temp, 5] <- 100 #UB on NCV parameter in 100 + PR[2:(temp - 1), 4] <- -10000 + PR[2:(temp - 1), 5] <- 10000 } - if(fitmodel == 5){ #exp-5 - PR[2,] <- c(1,0,1000,-10000, 10000) - if(distribution == "normal-ncv"){ - PR[5, 3] <- 0.75 - PR[6,4:5] <- c(-18, 18) + if (distribution == 'normal') { + PR[1, 4:5] <- c(-1000, 1000) + if (is_increasing) { + PR[2:(nrow(PR) - 1), 4] <- 0.00001 + PR[2:(nrow(PR) - 1), 5] <- 18 + } else { + PR[2:(nrow(PR) - 1), 5] <- -0.00001 + PR[2:(nrow(PR) - 1), 4] <- -18 } } - if(fitmodel == 8 & distribution == "normal-ncv"){ #power NCV - PR[2,] <- c(1,0,10, -10000, 10000) + } + } else { + if (fitmodel == 3) { + #exp-3 + PR[2,] <- c(2, 0, 6.9, 0, 10000) + } + if (fitmodel == 6) { + #hill + PR[2,] <- c(1, 0, 1000, -10000, 10000) + } + if (fitmodel == 5) { + #exp-5 + PR[2,] <- c(1, 0, 1000, -10000, 10000) + if (distribution == "normal-ncv") { + PR[5, 3] <- 0.75 + PR[6, 4:5] <- c(-18, 18) } } + if (fitmodel == 8 & distribution == "normal-ncv") { + #power NCV + PR[2,] <- c(1, 0, 10, -10000, 10000) + } } - + } - if (identical(rt,integer(0))){ - stop("Please specify one of the following BMRF types: + + if (identical(rt, integer(0))) { + stop("Please specify one of the following BMRF types: 'abs','sd','rel','hybrid'") + } + + if (rt == 4) { rt = 6; } + #internally in Rcpp hybrid is coded as 6 + + tmodel <- permuteMat[dmodel, 2] + + options <- c(rt, BMR, point_p, alpha, is_increasing, constVar, burnin, samples, transform) + + ## pick a distribution type + if (is_log_normal) { + dist_type = 3 #log normal + } else { + if (constVar) { + dist_type = 1 # normal + } else { + dist_type = 2 # normal-ncv } - - if (rt == 4) {rt = 6;} #internally in Rcpp hybrid is coded as 6 - - tmodel <- permuteMat[dmodel,2] - - options <- c(rt,BMR,point_p,alpha, is_increasing,constVar,burnin,samples,transform) - - ## pick a distribution type - if (is_log_normal){ - dist_type = 3 #log normal - }else{ - if (constVar){ - dist_type = 1 # normal - }else{ - dist_type = 2 # normal-ncv - } - } + } + ## print(PR) # // return(PR) - if (fit_type == "mcmc"){ - - .set_threads(threads) - rvals <- .run_continuous_single_mcmc(fitmodel,model_data$SSTAT,model_data$X, - PR ,options, is_log_normal, sstat) - - if (model_type == "exp-3"){ - rvals$PARMS = rvals$PARMS[,-3] - rvals$mcmc_result$PARM_samples = rvals$mcmc_result$PARM_samples[,-3] - } - - rvals$bmd <- c(rvals$fitted_model$bmd,NA,NA) - - rvals$full_model <- rvals$fitted_model$full_model - rvals$parameters <- rvals$fitted_model$parameters - rvals$covariance <- rvals$fitted_model$covariance - rvals$maximum <- rvals$fitted_model$maximum - - rvals$prior <- t_prior_result - rvals$bmd_dist <- rvals$fitted_model$bmd_dist - if (!identical(rvals$bmd_dist, numeric(0))){ - temp_me = rvals$bmd_dist - #rarely gives error, so wrap in tryCatch: if fails, create 2x2 0 matrix - tryCatch({ - temp_me = temp_me[!is.infinite(temp_me[,1]),] - temp_me = temp_me[!is.na(temp_me[,1]),] - temp_me = temp_me[!is.nan(temp_me[,1]),] - }, error = function(e) temp_me <- matrix(0, nrow = 2, ncol = 2)) - #nrow can throw error too - if(is.null(nrow(temp_me))){ - temp_me <- matrix(0, nrow = 2, ncol = 2) - } - if( nrow(temp_me) > 5){ - te <- splinefun(temp_me[,2],temp_me[,1],method="monoH.FC",ties=mean) - rvals$bmd[2:3] <- c(te(alpha),te(1-alpha)) - }else{ - rvals$bmd[2:3] <- c(NA,NA) - } + if (fit_type == "mcmc") { + rvals <- .run_continuous_single_mcmc(fitmodel, model_data$SSTAT, model_data$X, + PR, options, is_log_normal, sstat, seed) + + if (model_type == "exp-3") { + rvals$PARMS = rvals$PARMS[, -3] + rvals$mcmc_result$PARM_samples = rvals$mcmc_result$PARM_samples[, -3] + } + + rvals$bmd <- c(rvals$fitted_model$bmd, NA, NA) + + rvals$full_model <- rvals$fitted_model$full_model + rvals$parameters <- rvals$fitted_model$parameters + rvals$covariance <- rvals$fitted_model$covariance + rvals$maximum <- rvals$fitted_model$maximum + + rvals$prior <- t_prior_result + rvals$bmd_dist <- rvals$fitted_model$bmd_dist + if (!identical(rvals$bmd_dist, numeric(0))) { + temp_me = rvals$bmd_dist + #rarely gives error, so wrap in tryCatch: if fails, create 2x2 0 matrix + tryCatch({ + temp_me = temp_me[!is.infinite(temp_me[, 1]),] + temp_me = temp_me[!is.na(temp_me[, 1]),] + temp_me = temp_me[!is.nan(temp_me[, 1]),] + }, error = function(e) temp_me <- matrix(0, nrow = 2, ncol = 2)) + #nrow can throw error too + if (is.null(nrow(temp_me))) { + temp_me <- matrix(0, nrow = 2, ncol = 2) } - #if less than 10 unique jumps, warn that mixing was poor - if(length(unique(rvals$mcmc_result$BMD_samples)) < 10){ - warning("MCMC did not mix well!", call. = FALSE) + if (nrow(temp_me) > 5) { + te <- splinefun(temp_me[, 2], temp_me[, 1], method = "monoH.FC", ties = mean) + rvals$bmd[2:3] <- c(te(alpha), te(1 - alpha)) + } else { + rvals$bmd[2:3] <- c(NA, NA) } - - class(rvals) <- "BMDcont_fit_MCMC"; - rvals$model <- model_type - rvals$options <- options - rvals$data <- DATA - names(rvals$bmd) <- c("BMD","BMDL","BMDU") - + } + #if less than 10 unique jumps, warn that mixing was poor + if (length(unique(rvals$mcmc_result$BMD_samples)) < 10) { + warning("MCMC did not mix well!", call. = FALSE) + } + + class(rvals) <- "BMDcont_fit_MCMC"; + rvals$model <- model_type + rvals$options <- options + rvals$data <- DATA + names(rvals$bmd) <- c("BMD", "BMDL", "BMDU") + + rvals$prior <- t_prior_result + rvals$transformed <- transform + class(rvals) <- "BMDcont_fit_MCMC" + rvals$fitted_model <- NULL + return(rvals) + } else { + + options[7] <- (ewald == TRUE) * 1 + rvals <- .run_continuous_single(fitmodel, model_data$SSTAT, model_data$X, + PR, options, dist_type, seed) + + rvals$bmd_dist = rvals$bmd_dist[!is.infinite(rvals$bmd_dist[, 1]),, drop = F] + rvals$bmd_dist = rvals$bmd_dist[!is.na(rvals$bmd_dist[, 1]),, drop = F] + rvals$bmd <- c(rvals$bmd, NA, NA) + names(rvals$bmd) <- c("BMD", "BMDL", "BMDU") + if (fit_type == "laplace") { rvals$prior <- t_prior_result - rvals$transformed <- transform - class(rvals) <- "BMDcont_fit_MCMC" - rvals$fitted_model <- NULL - return(rvals) - }else{ - - options[7] <- (ewald == TRUE)*1 - .set_threads(threads) - rvals <- .run_continuous_single(fitmodel,model_data$SSTAT,model_data$X, - PR,options, dist_type) - - rvals$bmd_dist = rvals$bmd_dist[!is.infinite(rvals$bmd_dist[,1]),,drop=F] - rvals$bmd_dist = rvals$bmd_dist[!is.na(rvals$bmd_dist[,1]),,drop=F] - rvals$bmd <- c(rvals$bmd,NA,NA) - names(rvals$bmd) <- c("BMD","BMDL","BMDU") - if (fit_type == "laplace"){ - rvals$prior <- t_prior_result + } + if (!identical(rvals$bmd_dist, numeric(0))) { + temp_me = rvals$bmd_dist + tryCatch({ + temp_me = temp_me[!is.infinite(temp_me[, 1]),] + temp_me = temp_me[!is.na(temp_me[, 1]),] + temp_me = temp_me[!is.nan(temp_me[, 1]),] + }, error = function(e) temp_me <- matrix(0, nrow = 2, ncol = 2)) + #nrow can throw error too + if (is.null(nrow(temp_me))) { + temp_me <- matrix(0, nrow = 2, ncol = 2) } - if (!identical(rvals$bmd_dist, numeric(0))){ - temp_me = rvals$bmd_dist - tryCatch({ - temp_me = temp_me[!is.infinite(temp_me[,1]),] - temp_me = temp_me[!is.na(temp_me[,1]),] - temp_me = temp_me[!is.nan(temp_me[,1]),] - }, error = function(e) temp_me <- matrix(0, nrow = 2, ncol = 2)) - #nrow can throw error too - if(is.null(nrow(temp_me))){ - temp_me <- matrix(0, nrow = 2, ncol = 2) - } - if( nrow(temp_me) > 5){ - te <- splinefun(temp_me[,2],temp_me[,1],method="monoH.FC",ties=mean) - rvals$bmd[2:3] <- c(te(alpha),te(1-alpha)) - }else{ - rvals$bmd[2:3] <- c(NA,NA) - } + if (nrow(temp_me) > 5) { + te <- splinefun(temp_me[, 2], temp_me[, 1], method = "monoH.FC", ties = mean) + rvals$bmd[2:3] <- c(te(alpha), te(1 - alpha)) + } else { + rvals$bmd[2:3] <- c(NA, NA) } - names(rvals$bmd) <- c("BMD","BMDL","BMDU") - rvals$model <- model_type - rvals$options <- options - rvals$data <- DATA - class(rvals) <- "BMDcont_fit_maximized" - rvals$transformed <- transform - return (rvals) } + names(rvals$bmd) <- c("BMD", "BMDL", "BMDU") + rvals$model <- model_type + rvals$options <- options + rvals$data <- DATA + class(rvals) <- "BMDcont_fit_maximized" + rvals$transformed <- transform + return(rvals) + } } diff --git a/R/dichotomous_wrappers.R b/R/dichotomous_wrappers.R index 51a5b06..ca44a6c 100644 --- a/R/dichotomous_wrappers.R +++ b/R/dichotomous_wrappers.R @@ -57,10 +57,12 @@ single_dichotomous_fit <- function(D, Y, N, model_type, fit_type = "laplace", prior = NULL, BMR = 0.1, alpha = 0.05, degree = 2, samples = 21000, burnin = 1000, threads=2, seed = 12331) { - .setseedGSL(seed) Y <- as.matrix(Y) D <- as.matrix(D) N <- as.matrix(N) + + .setseedGSL(seed) + .set_threads(threads) DATA <- cbind(D, Y, N) test <- .check_for_na(DATA) @@ -114,8 +116,7 @@ single_dichotomous_fit <- function(D, Y, N, model_type, fit_type = "laplace", if (fitter == 1) { # MLE fit bounds <- .bmd_default_frequentist_settings(model_type, degree) - .set_threads(threads) - temp <- .run_single_dichotomous(dmodel, DATA, bounds, o1, o2) + temp <- .run_single_dichotomous(dmodel, DATA, bounds, o1, o2, seed) # class(temp$bmd_dist) <- "BMD_CDF" temp_me <- temp$bmd_dist @@ -136,8 +137,7 @@ single_dichotomous_fit <- function(D, Y, N, model_type, fit_type = "laplace", } if (fitter == 2) { # laplace fit - .set_threads(threads) - temp <- .run_single_dichotomous(dmodel, DATA, prior$priors, o1, o2) + temp <- .run_single_dichotomous(dmodel, DATA, prior$priors, o1, o2, seed) # class(temp$bmd_dist) <- "BMD_CDF" temp_me <- temp$bmd_dist temp_me <- temp_me[!is.infinite(temp_me[, 1]), ] @@ -156,10 +156,9 @@ single_dichotomous_fit <- function(D, Y, N, model_type, fit_type = "laplace", class(temp) <- "BMDdich_fit_maximized" } if (fitter == 3) { - .set_threads(threads) temp <- .run_dichotomous_single_mcmc( dmodel, DATA[, 2:3, drop = F], DATA[, 1, drop = F], prior$priors, - c(BMR, alpha, samples, burnin) + c(BMR, alpha, samples, burnin), seed ) # class(temp$fitted_model$bmd_dist) <- "BMD_CDF" temp$bmd_dist <- cbind(quantile(temp$mcmc_result$BMD_samples, seq(0.005, 0.995, 0.005),na.rm=TRUE), seq(0.005, 0.995, 0.005)) diff --git a/R/model_averaging_fits.R b/R/model_averaging_fits.R index 648c9d4..ccdc1f5 100644 --- a/R/model_averaging_fits.R +++ b/R/model_averaging_fits.R @@ -50,11 +50,12 @@ ma_continuous_fit <- function(D, Y, model_list = NA, fit_type = "laplace", BMR_TYPE = "sd", BMR = 0.1, point_p = 0.01, alpha = 0.05, EFSA = TRUE, samples = 21000, burnin = 1000, BMD_TYPE = NA, threads=2, seed = 12331) { - .setseedGSL(seed) + # .setseedGSL(seed) myD <- Y Y <- as.matrix(Y) D <- as.matrix(D) - + .setseedGSL(seed) + .set_threads(threads) is_neg <- .check_negative_response(Y) DATA <- cbind(D, Y) @@ -62,7 +63,6 @@ ma_continuous_fit <- function(D, Y, model_list = NA, fit_type = "laplace", Y <- Y[test == TRUE, , drop = F] D <- D[test == TRUE, , drop = F] DATA <- cbind(D, Y) - current_models <- c("hill", "exp-3", "exp-5", "power", "FUNL", "exp-aerts", "invexp-aerts", "gamma-aerts", "invgamma-aerts", "hill-aerts", "lomax-aerts", "invlomax-aerts", "lognormal-aerts", "logskew-aerts", "invlogskew-aerts", "logistic-aerts", "probit-aerts", "LMS", "gamma-efsa") @@ -185,7 +185,6 @@ ma_continuous_fit <- function(D, Y, model_list = NA, fit_type = "laplace", dlists[ii] <- which(prior_list[[ii]]$dist == current_dists) } - ################### DATA <- cbind(D, Y) if (ncol(DATA) == 4) { @@ -221,12 +220,10 @@ ma_continuous_fit <- function(D, Y, model_list = NA, fit_type = "laplace", } } options <- c(rt, BMR, point_p, alpha, is_increasing, samples, burnin) - - .set_threads(threads) if (fit_type == "mcmc") { temp_r <- .run_continuous_ma_mcmc( priors, models, dlists, Y, D, - options + options, seed ) tempn <- temp_r$ma_results @@ -315,7 +312,7 @@ ma_continuous_fit <- function(D, Y, model_list = NA, fit_type = "laplace", } else { temp <- .run_continuous_ma_laplace( priors, models, dlists, Y, D, - options + options, seed ) t_names <- names(temp) @@ -450,10 +447,11 @@ ma_dichotomous_fit <- function(D, Y, N, model_list = integer(0), fit_type = "lap BMR_TYPE = "extra", BMR = 0.1, point_p = 0.01, alpha = 0.05, samples = 21000, burnin = 1000, BMD_TYPE = NA, threads = 2, seed = 12331) { - .setseedGSL(seed) D <- as.matrix(D) Y <- as.matrix(Y) - N <- as.matrix(N) + N <- as.matrix(N) + .setseedGSL(seed) + .set_threads(threads) fit_type = tolower(fit_type) DATA <- cbind(D, Y, N) test <- .check_for_na(DATA) @@ -511,12 +509,11 @@ ma_dichotomous_fit <- function(D, Y, N, model_list = integer(0), fit_type = "lap o2 <- c(BTYPE, 2, samples, burnin) data <- as.matrix(cbind(D, Y, N)) - .set_threads(threads) if (fit_type == "laplace") { # Laplace Run temp <- .run_ma_dichotomous( data, priors, model_i, - model_p, FALSE, o1, o2 + model_p, FALSE, o1, o2, seed ) # clean up the run temp$ma_bmd <- temp$BMD_CDF @@ -579,7 +576,7 @@ ma_dichotomous_fit <- function(D, Y, N, model_list = integer(0), fit_type = "lap # MCMC run temp_r <- .run_ma_dichotomous( data, priors, model_i, - model_p, TRUE, o1, o2 + model_p, TRUE, o1, o2, seed ) tempn <- temp_r$ma_results tempm <- temp_r$mcmc_runs diff --git a/R/opening_messages.R b/R/opening_messages.R index e21ccf3..2c6a8e2 100644 --- a/R/opening_messages.R +++ b/R/opening_messages.R @@ -17,7 +17,8 @@ # CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE # OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. .onAttach <- function(libname, pkgname) { - msg <- " + version <- as.character(utils::packageVersion("ToxicR")) + msg <- paste0(" _______ _____ |__ __| \U1F913 | __ \\ @@ -25,7 +26,7 @@ | |/ _ \\ \\/ / |/ __| _ / | | (_) > <| | (__| | \\ \\ |_|\\___/_/\\_\\_|\\___|_| \\_\\ - 24.1.1.2.1 + ",version," ___ | | / \\ ____()() @@ -39,7 +40,7 @@ PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIG HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. -" +") # notify the option to update? (5 possible cases) # 1. error in getting the current package version -> yes @@ -50,7 +51,7 @@ OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # in short, notify the option to update unless the version numbers match # get version of the currently installed package current_pkg_version <- tryCatch( - as.character(utils::packageVersion("ToxicR")), + version, error = function(e) "unknown") # github url github_url <- paste0( @@ -81,7 +82,7 @@ OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. compare_version_result == 0) { startup_message <- paste0( "Package attached: ToxicR v", current_pkg_version, - " (same as the most recent version available through GitHub).") + " (the most recent version available through GitHub).") } else if ( # skip update for case 4 current_pkg_version != "unknown" & @@ -103,7 +104,13 @@ OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. } packageStartupMessage(msg) packageStartupMessage(startup_message) - .set_threads(2); - open_mp_message <- "OpenMP threads set to 2.\n" + status <- .set_threads(2) + if (status == 1) { + open_mp_message <- "OpenMP threads set to 2.\n" + } else if (status == 0) { + open_mp_message <- "OpenMP will not be used for parallelization.\n" + } else { + open_mp_message <- "OpenMP is not supported on this architecture.\n" + } packageStartupMessage(open_mp_message) } diff --git a/cleanup b/cleanup index 99939af..f35d369 100755 --- a/cleanup +++ b/cleanup @@ -3,6 +3,7 @@ rm -rf inst/include rm -f src/*.o rm -f src/*.so rm -f src/polyK/*.o +rm -f src/*.dll rm -f src/code_base/*.o rm -f src/Makevars rm -f config.* diff --git a/src/Makevars.in b/src/Makevars.in index 873c113..ffc7731 100644 --- a/src/Makevars.in +++ b/src/Makevars.in @@ -1,6 +1,8 @@ -PKG_CXXFLAGS= -I./code_base -I./include @OPENMP@ @NLOPT_CPPFLAGS@ @GSL_CPPFLAGS@ -DR_COMPILATION -PKG_LIBS= $(LAPACK_LIBS) $(BLAS_LIBS) $(FLIBS) @NLOPT_LIBS@ @GSL_LIBS@ @OPENMP@ -# CXXFLAGS+=-Wno-ignored-attributes -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS +PKG_CXXFLAGS=-I./code_base -I./include @OPENMP@ @NLOPT_CPPFLAGS@ @GSL_CPPFLAGS@ -DR_COMPILATION -DNO_OMP -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS +PKG_LIBS=$(LAPACK_LIBS) $(BLAS_LIBS) $(FLIBS) @NLOPT_LIBS@ @GSL_LIBS@ @OPENMP@ + +# Debug / clear eigen warnings from compilation +#PKG_CXXFLAGS+=-Wno-ignored-attributes -DToxicR_DEBUG # Include all C++ files in src/ and its subdirectories SOURCES=@SRC_SOURCES@ @SUBDIR_SOURCES@ diff --git a/src/Makevars.ucrt b/src/Makevars.ucrt index 6beb494..cb715a6 100644 --- a/src/Makevars.ucrt +++ b/src/Makevars.ucrt @@ -1,7 +1,7 @@ -PKG_CXXFLAGS+=-I./code_base -I./include $(SHLIB_OPENMP_CXXFLAGS) -I$(R_TOOLS_SOFT)/include/nlopt -I$(R_TOOLS_SOFT)/include/gsl -DR_COMPILATION -ftree-vectorize -Os -PKG_LIBS+=$(LAPACK_LIBS) $(BLAS_LIBS) $(FLIBS) $(SHLIB_OPENMP_CXXFLAGS) -lgsl -lgslcblas -lnlopt -# CXXFLAGS+=-Wno-ignored-attributes -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS - +PKG_CXXFLAGS=-I./code_base -I./include $(SHLIB_OPENMP_CXXFLAGS) -I$(R_TOOLS_SOFT)/include/nlopt -I$(R_TOOLS_SOFT)/include/gsl -DR_COMPILATION -ftree-vectorize -Os -DNO_OMP -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS +PKG_LIBS=$(LAPACK_LIBS) $(BLAS_LIBS) $(FLIBS) $(SHLIB_OPENMP_CXXFLAGS) -lgsl -lgslcblas -lnlopt +# Debug / clear eigen warnings from compilation +#PKG_CXXFLAGS+=-Wno-ignored-attributes -DToxicR_DEBUG POLYK = $(wildcard polyK/*.cpp) MAIN = $(wildcard *.cpp) diff --git a/src/Makevars.win b/src/Makevars.win index 516211e..54da0f5 100644 --- a/src/Makevars.win +++ b/src/Makevars.win @@ -1,8 +1,7 @@ -PKG_CPPFLAGS+=-I../windows/gsl-2.7/include -I../windows/nlopt-2.7.1/include -I./ -I./code_base -I./include -DR_COMPILATION -ftree-vectorize -Os -PKG_LIBS+=-L../windows/nlopt-2.7.1/lib${R_ARCH}${CRT} -L../windows/gsl-2.7/lib${R_ARCH}${CRT} -lgsl -lgslcblas -lnlopt - -# CXXFLAGS+=-Wno-ignored-attributes -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS - +PKG_CPPFLAGS=$(SHLIB_OPENMP_CXXFLAGS) -I../windows/gsl-2.7/include -I../windows/nlopt-2.7.1/include -I./ -I./code_base -I./include -DR_COMPILATION -ftree-vectorize -Os -femulated-tls -DNO_OMP -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS +PKG_LIBS=$(SHLIB_OPENMP_CXXFLAGS) -L../windows/nlopt-2.7.1/lib${R_ARCH}${CRT} -L../windows/gsl-2.7/lib${R_ARCH}${CRT} -lgsl -lgslcblas -lnlopt +# Debug / clear eigen warnings from compilation +#PKG_CPPFLAGS += -Wno-ignored-attributes -DToxicR_DEBUG -g -O0 POLYK = $(wildcard polyK/*.cpp) MAIN = $(wildcard *.cpp) diff --git a/src/RcppExports.cpp b/src/RcppExports.cpp index 359fc02..152449e 100644 --- a/src/RcppExports.cpp +++ b/src/RcppExports.cpp @@ -1,191 +1,199 @@ -// Generated by using Rcpp::compileAttributes() -> do not edit by hand -// Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393 - -#include -#include -#include - -using namespace Rcpp; - -#ifdef RCPP_USE_GLOBAL_ROSTREAM -Rcpp::Rostream& Rcpp::Rcout = Rcpp::Rcpp_cout_get(); -Rcpp::Rostream& Rcpp::Rcerr = Rcpp::Rcpp_cerr_get(); -#endif - -// owenst_fn -double owenst_fn(double x, double fx); -RcppExport SEXP _ToxicR_owenst_fn(SEXP xSEXP, SEXP fxSEXP) { -BEGIN_RCPP - Rcpp::RObject rcpp_result_gen; - Rcpp::RNGScope rcpp_rngScope_gen; - Rcpp::traits::input_parameter< double >::type x(xSEXP); - Rcpp::traits::input_parameter< double >::type fx(fxSEXP); - rcpp_result_gen = Rcpp::wrap(owenst_fn(x, fx)); - return rcpp_result_gen; -END_RCPP -} -// run_single_dichotomous -List run_single_dichotomous(NumericVector model, Eigen::MatrixXd data, Eigen::MatrixXd pr, NumericVector options1, IntegerVector options2); -RcppExport SEXP _ToxicR_run_single_dichotomous(SEXP modelSEXP, SEXP dataSEXP, SEXP prSEXP, SEXP options1SEXP, SEXP options2SEXP) { -BEGIN_RCPP - Rcpp::RObject rcpp_result_gen; - Rcpp::RNGScope rcpp_rngScope_gen; - Rcpp::traits::input_parameter< NumericVector >::type model(modelSEXP); - Rcpp::traits::input_parameter< Eigen::MatrixXd >::type data(dataSEXP); - Rcpp::traits::input_parameter< Eigen::MatrixXd >::type pr(prSEXP); - Rcpp::traits::input_parameter< NumericVector >::type options1(options1SEXP); - Rcpp::traits::input_parameter< IntegerVector >::type options2(options2SEXP); - rcpp_result_gen = Rcpp::wrap(run_single_dichotomous(model, data, pr, options1, options2)); - return rcpp_result_gen; -END_RCPP -} -// run_continuous_single -List run_continuous_single(IntegerVector model, Eigen::MatrixXd Y, Eigen::MatrixXd X, Eigen::MatrixXd prior, NumericVector options, IntegerVector dist_type); -RcppExport SEXP _ToxicR_run_continuous_single(SEXP modelSEXP, SEXP YSEXP, SEXP XSEXP, SEXP priorSEXP, SEXP optionsSEXP, SEXP dist_typeSEXP) { -BEGIN_RCPP - Rcpp::RObject rcpp_result_gen; - Rcpp::RNGScope rcpp_rngScope_gen; - Rcpp::traits::input_parameter< IntegerVector >::type model(modelSEXP); - Rcpp::traits::input_parameter< Eigen::MatrixXd >::type Y(YSEXP); - Rcpp::traits::input_parameter< Eigen::MatrixXd >::type X(XSEXP); - Rcpp::traits::input_parameter< Eigen::MatrixXd >::type prior(priorSEXP); - Rcpp::traits::input_parameter< NumericVector >::type options(optionsSEXP); - Rcpp::traits::input_parameter< IntegerVector >::type dist_type(dist_typeSEXP); - rcpp_result_gen = Rcpp::wrap(run_continuous_single(model, Y, X, prior, options, dist_type)); - return rcpp_result_gen; -END_RCPP -} -// run_continuous_ma_laplace -List run_continuous_ma_laplace(List model_priors, NumericVector model_type, NumericVector dist_type, Eigen::MatrixXd Y, Eigen::MatrixXd X, NumericVector options); -RcppExport SEXP _ToxicR_run_continuous_ma_laplace(SEXP model_priorsSEXP, SEXP model_typeSEXP, SEXP dist_typeSEXP, SEXP YSEXP, SEXP XSEXP, SEXP optionsSEXP) { -BEGIN_RCPP - Rcpp::RObject rcpp_result_gen; - Rcpp::RNGScope rcpp_rngScope_gen; - Rcpp::traits::input_parameter< List >::type model_priors(model_priorsSEXP); - Rcpp::traits::input_parameter< NumericVector >::type model_type(model_typeSEXP); - Rcpp::traits::input_parameter< NumericVector >::type dist_type(dist_typeSEXP); - Rcpp::traits::input_parameter< Eigen::MatrixXd >::type Y(YSEXP); - Rcpp::traits::input_parameter< Eigen::MatrixXd >::type X(XSEXP); - Rcpp::traits::input_parameter< NumericVector >::type options(optionsSEXP); - rcpp_result_gen = Rcpp::wrap(run_continuous_ma_laplace(model_priors, model_type, dist_type, Y, X, options)); - return rcpp_result_gen; -END_RCPP -} -// run_continuous_ma_mcmc -List run_continuous_ma_mcmc(List model_priors, NumericVector model_type, NumericVector dist_type, Eigen::MatrixXd Y, Eigen::MatrixXd X, NumericVector options); -RcppExport SEXP _ToxicR_run_continuous_ma_mcmc(SEXP model_priorsSEXP, SEXP model_typeSEXP, SEXP dist_typeSEXP, SEXP YSEXP, SEXP XSEXP, SEXP optionsSEXP) { -BEGIN_RCPP - Rcpp::RObject rcpp_result_gen; - Rcpp::RNGScope rcpp_rngScope_gen; - Rcpp::traits::input_parameter< List >::type model_priors(model_priorsSEXP); - Rcpp::traits::input_parameter< NumericVector >::type model_type(model_typeSEXP); - Rcpp::traits::input_parameter< NumericVector >::type dist_type(dist_typeSEXP); - Rcpp::traits::input_parameter< Eigen::MatrixXd >::type Y(YSEXP); - Rcpp::traits::input_parameter< Eigen::MatrixXd >::type X(XSEXP); - Rcpp::traits::input_parameter< NumericVector >::type options(optionsSEXP); - rcpp_result_gen = Rcpp::wrap(run_continuous_ma_mcmc(model_priors, model_type, dist_type, Y, X, options)); - return rcpp_result_gen; -END_RCPP -} -// run_ma_dichotomous -List run_ma_dichotomous(Eigen::MatrixXd data, List priors, NumericVector models, NumericVector model_p, bool is_MCMC, NumericVector options1, IntegerVector options2); -RcppExport SEXP _ToxicR_run_ma_dichotomous(SEXP dataSEXP, SEXP priorsSEXP, SEXP modelsSEXP, SEXP model_pSEXP, SEXP is_MCMCSEXP, SEXP options1SEXP, SEXP options2SEXP) { -BEGIN_RCPP - Rcpp::RObject rcpp_result_gen; - Rcpp::RNGScope rcpp_rngScope_gen; - Rcpp::traits::input_parameter< Eigen::MatrixXd >::type data(dataSEXP); - Rcpp::traits::input_parameter< List >::type priors(priorsSEXP); - Rcpp::traits::input_parameter< NumericVector >::type models(modelsSEXP); - Rcpp::traits::input_parameter< NumericVector >::type model_p(model_pSEXP); - Rcpp::traits::input_parameter< bool >::type is_MCMC(is_MCMCSEXP); - Rcpp::traits::input_parameter< NumericVector >::type options1(options1SEXP); - Rcpp::traits::input_parameter< IntegerVector >::type options2(options2SEXP); - rcpp_result_gen = Rcpp::wrap(run_ma_dichotomous(data, priors, models, model_p, is_MCMC, options1, options2)); - return rcpp_result_gen; -END_RCPP -} -// run_dichotomous_single_mcmc -List run_dichotomous_single_mcmc(NumericVector model, Eigen::MatrixXd Y, Eigen::MatrixXd D, Eigen::MatrixXd pr, NumericVector options); -RcppExport SEXP _ToxicR_run_dichotomous_single_mcmc(SEXP modelSEXP, SEXP YSEXP, SEXP DSEXP, SEXP prSEXP, SEXP optionsSEXP) { -BEGIN_RCPP - Rcpp::RObject rcpp_result_gen; - Rcpp::RNGScope rcpp_rngScope_gen; - Rcpp::traits::input_parameter< NumericVector >::type model(modelSEXP); - Rcpp::traits::input_parameter< Eigen::MatrixXd >::type Y(YSEXP); - Rcpp::traits::input_parameter< Eigen::MatrixXd >::type D(DSEXP); - Rcpp::traits::input_parameter< Eigen::MatrixXd >::type pr(prSEXP); - Rcpp::traits::input_parameter< NumericVector >::type options(optionsSEXP); - rcpp_result_gen = Rcpp::wrap(run_dichotomous_single_mcmc(model, Y, D, pr, options)); - return rcpp_result_gen; -END_RCPP -} -// run_continuous_single_mcmc -List run_continuous_single_mcmc(NumericVector model, Eigen::MatrixXd Y, Eigen::MatrixXd D, Eigen::MatrixXd priors, NumericVector options, bool is_logNormal, bool suff_stat); -RcppExport SEXP _ToxicR_run_continuous_single_mcmc(SEXP modelSEXP, SEXP YSEXP, SEXP DSEXP, SEXP priorsSEXP, SEXP optionsSEXP, SEXP is_logNormalSEXP, SEXP suff_statSEXP) { -BEGIN_RCPP - Rcpp::RObject rcpp_result_gen; - Rcpp::RNGScope rcpp_rngScope_gen; - Rcpp::traits::input_parameter< NumericVector >::type model(modelSEXP); - Rcpp::traits::input_parameter< Eigen::MatrixXd >::type Y(YSEXP); - Rcpp::traits::input_parameter< Eigen::MatrixXd >::type D(DSEXP); - Rcpp::traits::input_parameter< Eigen::MatrixXd >::type priors(priorsSEXP); - Rcpp::traits::input_parameter< NumericVector >::type options(optionsSEXP); - Rcpp::traits::input_parameter< bool >::type is_logNormal(is_logNormalSEXP); - Rcpp::traits::input_parameter< bool >::type suff_stat(suff_statSEXP); - rcpp_result_gen = Rcpp::wrap(run_continuous_single_mcmc(model, Y, D, priors, options, is_logNormal, suff_stat)); - return rcpp_result_gen; -END_RCPP -} -// polyk -NumericVector polyk(NumericVector dose, NumericVector tumor, NumericVector daysOnStudy); -RcppExport SEXP _ToxicR_polyk(SEXP doseSEXP, SEXP tumorSEXP, SEXP daysOnStudySEXP) { -BEGIN_RCPP - Rcpp::RObject rcpp_result_gen; - Rcpp::RNGScope rcpp_rngScope_gen; - Rcpp::traits::input_parameter< NumericVector >::type dose(doseSEXP); - Rcpp::traits::input_parameter< NumericVector >::type tumor(tumorSEXP); - Rcpp::traits::input_parameter< NumericVector >::type daysOnStudy(daysOnStudySEXP); - rcpp_result_gen = Rcpp::wrap(polyk(dose, tumor, daysOnStudy)); - return rcpp_result_gen; -END_RCPP -} -// setseedGSL -void setseedGSL(int s); -RcppExport SEXP _ToxicR_setseedGSL(SEXP sSEXP) { -BEGIN_RCPP - Rcpp::RNGScope rcpp_rngScope_gen; - Rcpp::traits::input_parameter< int >::type s(sSEXP); - setseedGSL(s); - return R_NilValue; -END_RCPP -} -// set_threads -void set_threads(int num_threads); -RcppExport SEXP _ToxicR_set_threads(SEXP num_threadsSEXP) { -BEGIN_RCPP - Rcpp::RNGScope rcpp_rngScope_gen; - Rcpp::traits::input_parameter< int >::type num_threads(num_threadsSEXP); - set_threads(num_threads); - return R_NilValue; -END_RCPP -} - -static const R_CallMethodDef CallEntries[] = { - {"_ToxicR_owenst_fn", (DL_FUNC) &_ToxicR_owenst_fn, 2}, - {"_ToxicR_run_single_dichotomous", (DL_FUNC) &_ToxicR_run_single_dichotomous, 5}, - {"_ToxicR_run_continuous_single", (DL_FUNC) &_ToxicR_run_continuous_single, 6}, - {"_ToxicR_run_continuous_ma_laplace", (DL_FUNC) &_ToxicR_run_continuous_ma_laplace, 6}, - {"_ToxicR_run_continuous_ma_mcmc", (DL_FUNC) &_ToxicR_run_continuous_ma_mcmc, 6}, - {"_ToxicR_run_ma_dichotomous", (DL_FUNC) &_ToxicR_run_ma_dichotomous, 7}, - {"_ToxicR_run_dichotomous_single_mcmc", (DL_FUNC) &_ToxicR_run_dichotomous_single_mcmc, 5}, - {"_ToxicR_run_continuous_single_mcmc", (DL_FUNC) &_ToxicR_run_continuous_single_mcmc, 7}, - {"_ToxicR_polyk", (DL_FUNC) &_ToxicR_polyk, 3}, - {"_ToxicR_setseedGSL", (DL_FUNC) &_ToxicR_setseedGSL, 1}, - {"_ToxicR_set_threads", (DL_FUNC) &_ToxicR_set_threads, 1}, - {NULL, NULL, 0} -}; - -RcppExport void R_init_ToxicR(DllInfo *dll) { - R_registerRoutines(dll, NULL, CallEntries, NULL, NULL); - R_useDynamicSymbols(dll, FALSE); -} +// Generated by using Rcpp::compileAttributes() -> do not edit by hand +// Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393 + +#include +#include +#include + +using namespace Rcpp; + +#ifdef RCPP_USE_GLOBAL_ROSTREAM +Rcpp::Rostream& Rcpp::Rcout = Rcpp::Rcpp_cout_get(); +Rcpp::Rostream& Rcpp::Rcerr = Rcpp::Rcpp_cerr_get(); +#endif + +// owenst_fn +double owenst_fn(double x, double fx); +RcppExport SEXP _ToxicR_owenst_fn(SEXP xSEXP, SEXP fxSEXP) { +BEGIN_RCPP + Rcpp::RObject rcpp_result_gen; + Rcpp::RNGScope rcpp_rngScope_gen; + Rcpp::traits::input_parameter< double >::type x(xSEXP); + Rcpp::traits::input_parameter< double >::type fx(fxSEXP); + rcpp_result_gen = Rcpp::wrap(owenst_fn(x, fx)); + return rcpp_result_gen; +END_RCPP +} +// run_single_dichotomous +List run_single_dichotomous(NumericVector model, Eigen::MatrixXd data, Eigen::MatrixXd pr, NumericVector options1, IntegerVector options2, int seed); +RcppExport SEXP _ToxicR_run_single_dichotomous(SEXP modelSEXP, SEXP dataSEXP, SEXP prSEXP, SEXP options1SEXP, SEXP options2SEXP, SEXP seedSEXP) { +BEGIN_RCPP + Rcpp::RObject rcpp_result_gen; + Rcpp::RNGScope rcpp_rngScope_gen; + Rcpp::traits::input_parameter< NumericVector >::type model(modelSEXP); + Rcpp::traits::input_parameter< Eigen::MatrixXd >::type data(dataSEXP); + Rcpp::traits::input_parameter< Eigen::MatrixXd >::type pr(prSEXP); + Rcpp::traits::input_parameter< NumericVector >::type options1(options1SEXP); + Rcpp::traits::input_parameter< IntegerVector >::type options2(options2SEXP); + Rcpp::traits::input_parameter< int >::type seed(seedSEXP); + rcpp_result_gen = Rcpp::wrap(run_single_dichotomous(model, data, pr, options1, options2, seed)); + return rcpp_result_gen; +END_RCPP +} +// run_continuous_single +List run_continuous_single(IntegerVector model, Eigen::MatrixXd Y, Eigen::MatrixXd X, Eigen::MatrixXd prior, NumericVector options, IntegerVector dist_type, int seed); +RcppExport SEXP _ToxicR_run_continuous_single(SEXP modelSEXP, SEXP YSEXP, SEXP XSEXP, SEXP priorSEXP, SEXP optionsSEXP, SEXP dist_typeSEXP, SEXP seedSEXP) { +BEGIN_RCPP + Rcpp::RObject rcpp_result_gen; + Rcpp::RNGScope rcpp_rngScope_gen; + Rcpp::traits::input_parameter< IntegerVector >::type model(modelSEXP); + Rcpp::traits::input_parameter< Eigen::MatrixXd >::type Y(YSEXP); + Rcpp::traits::input_parameter< Eigen::MatrixXd >::type X(XSEXP); + Rcpp::traits::input_parameter< Eigen::MatrixXd >::type prior(priorSEXP); + Rcpp::traits::input_parameter< NumericVector >::type options(optionsSEXP); + Rcpp::traits::input_parameter< IntegerVector >::type dist_type(dist_typeSEXP); + Rcpp::traits::input_parameter< int >::type seed(seedSEXP); + rcpp_result_gen = Rcpp::wrap(run_continuous_single(model, Y, X, prior, options, dist_type, seed)); + return rcpp_result_gen; +END_RCPP +} +// run_continuous_ma_laplace +List run_continuous_ma_laplace(List model_priors, NumericVector model_type, NumericVector dist_type, Eigen::MatrixXd Y, Eigen::MatrixXd X, NumericVector options, int seed); +RcppExport SEXP _ToxicR_run_continuous_ma_laplace(SEXP model_priorsSEXP, SEXP model_typeSEXP, SEXP dist_typeSEXP, SEXP YSEXP, SEXP XSEXP, SEXP optionsSEXP, SEXP seedSEXP) { +BEGIN_RCPP + Rcpp::RObject rcpp_result_gen; + Rcpp::RNGScope rcpp_rngScope_gen; + Rcpp::traits::input_parameter< List >::type model_priors(model_priorsSEXP); + Rcpp::traits::input_parameter< NumericVector >::type model_type(model_typeSEXP); + Rcpp::traits::input_parameter< NumericVector >::type dist_type(dist_typeSEXP); + Rcpp::traits::input_parameter< Eigen::MatrixXd >::type Y(YSEXP); + Rcpp::traits::input_parameter< Eigen::MatrixXd >::type X(XSEXP); + Rcpp::traits::input_parameter< NumericVector >::type options(optionsSEXP); + Rcpp::traits::input_parameter< int >::type seed(seedSEXP); + rcpp_result_gen = Rcpp::wrap(run_continuous_ma_laplace(model_priors, model_type, dist_type, Y, X, options, seed)); + return rcpp_result_gen; +END_RCPP +} +// run_continuous_ma_mcmc +List run_continuous_ma_mcmc(List model_priors, NumericVector model_type, NumericVector dist_type, Eigen::MatrixXd Y, Eigen::MatrixXd X, NumericVector options, int seed); +RcppExport SEXP _ToxicR_run_continuous_ma_mcmc(SEXP model_priorsSEXP, SEXP model_typeSEXP, SEXP dist_typeSEXP, SEXP YSEXP, SEXP XSEXP, SEXP optionsSEXP, SEXP seedSEXP) { +BEGIN_RCPP + Rcpp::RObject rcpp_result_gen; + Rcpp::RNGScope rcpp_rngScope_gen; + Rcpp::traits::input_parameter< List >::type model_priors(model_priorsSEXP); + Rcpp::traits::input_parameter< NumericVector >::type model_type(model_typeSEXP); + Rcpp::traits::input_parameter< NumericVector >::type dist_type(dist_typeSEXP); + Rcpp::traits::input_parameter< Eigen::MatrixXd >::type Y(YSEXP); + Rcpp::traits::input_parameter< Eigen::MatrixXd >::type X(XSEXP); + Rcpp::traits::input_parameter< NumericVector >::type options(optionsSEXP); + Rcpp::traits::input_parameter< int >::type seed(seedSEXP); + rcpp_result_gen = Rcpp::wrap(run_continuous_ma_mcmc(model_priors, model_type, dist_type, Y, X, options, seed)); + return rcpp_result_gen; +END_RCPP +} +// run_ma_dichotomous +List run_ma_dichotomous(Eigen::MatrixXd data, List priors, NumericVector models, NumericVector model_p, bool is_MCMC, NumericVector options1, IntegerVector options2, int seed); +RcppExport SEXP _ToxicR_run_ma_dichotomous(SEXP dataSEXP, SEXP priorsSEXP, SEXP modelsSEXP, SEXP model_pSEXP, SEXP is_MCMCSEXP, SEXP options1SEXP, SEXP options2SEXP, SEXP seedSEXP) { +BEGIN_RCPP + Rcpp::RObject rcpp_result_gen; + Rcpp::RNGScope rcpp_rngScope_gen; + Rcpp::traits::input_parameter< Eigen::MatrixXd >::type data(dataSEXP); + Rcpp::traits::input_parameter< List >::type priors(priorsSEXP); + Rcpp::traits::input_parameter< NumericVector >::type models(modelsSEXP); + Rcpp::traits::input_parameter< NumericVector >::type model_p(model_pSEXP); + Rcpp::traits::input_parameter< bool >::type is_MCMC(is_MCMCSEXP); + Rcpp::traits::input_parameter< NumericVector >::type options1(options1SEXP); + Rcpp::traits::input_parameter< IntegerVector >::type options2(options2SEXP); + Rcpp::traits::input_parameter< int >::type seed(seedSEXP); + rcpp_result_gen = Rcpp::wrap(run_ma_dichotomous(data, priors, models, model_p, is_MCMC, options1, options2, seed)); + return rcpp_result_gen; +END_RCPP +} +// run_dichotomous_single_mcmc +List run_dichotomous_single_mcmc(NumericVector model, Eigen::MatrixXd Y, Eigen::MatrixXd D, Eigen::MatrixXd pr, NumericVector options, int seed); +RcppExport SEXP _ToxicR_run_dichotomous_single_mcmc(SEXP modelSEXP, SEXP YSEXP, SEXP DSEXP, SEXP prSEXP, SEXP optionsSEXP, SEXP seedSEXP) { +BEGIN_RCPP + Rcpp::RObject rcpp_result_gen; + Rcpp::RNGScope rcpp_rngScope_gen; + Rcpp::traits::input_parameter< NumericVector >::type model(modelSEXP); + Rcpp::traits::input_parameter< Eigen::MatrixXd >::type Y(YSEXP); + Rcpp::traits::input_parameter< Eigen::MatrixXd >::type D(DSEXP); + Rcpp::traits::input_parameter< Eigen::MatrixXd >::type pr(prSEXP); + Rcpp::traits::input_parameter< NumericVector >::type options(optionsSEXP); + Rcpp::traits::input_parameter< int >::type seed(seedSEXP); + rcpp_result_gen = Rcpp::wrap(run_dichotomous_single_mcmc(model, Y, D, pr, options, seed)); + return rcpp_result_gen; +END_RCPP +} +// run_continuous_single_mcmc +List run_continuous_single_mcmc(NumericVector model, Eigen::MatrixXd Y, Eigen::MatrixXd D, Eigen::MatrixXd priors, NumericVector options, bool is_logNormal, bool suff_stat, int seed); +RcppExport SEXP _ToxicR_run_continuous_single_mcmc(SEXP modelSEXP, SEXP YSEXP, SEXP DSEXP, SEXP priorsSEXP, SEXP optionsSEXP, SEXP is_logNormalSEXP, SEXP suff_statSEXP, SEXP seedSEXP) { +BEGIN_RCPP + Rcpp::RObject rcpp_result_gen; + Rcpp::RNGScope rcpp_rngScope_gen; + Rcpp::traits::input_parameter< NumericVector >::type model(modelSEXP); + Rcpp::traits::input_parameter< Eigen::MatrixXd >::type Y(YSEXP); + Rcpp::traits::input_parameter< Eigen::MatrixXd >::type D(DSEXP); + Rcpp::traits::input_parameter< Eigen::MatrixXd >::type priors(priorsSEXP); + Rcpp::traits::input_parameter< NumericVector >::type options(optionsSEXP); + Rcpp::traits::input_parameter< bool >::type is_logNormal(is_logNormalSEXP); + Rcpp::traits::input_parameter< bool >::type suff_stat(suff_statSEXP); + Rcpp::traits::input_parameter< int >::type seed(seedSEXP); + rcpp_result_gen = Rcpp::wrap(run_continuous_single_mcmc(model, Y, D, priors, options, is_logNormal, suff_stat, seed)); + return rcpp_result_gen; +END_RCPP +} +// polyk +NumericVector polyk(NumericVector dose, NumericVector tumor, NumericVector daysOnStudy); +RcppExport SEXP _ToxicR_polyk(SEXP doseSEXP, SEXP tumorSEXP, SEXP daysOnStudySEXP) { +BEGIN_RCPP + Rcpp::RObject rcpp_result_gen; + Rcpp::RNGScope rcpp_rngScope_gen; + Rcpp::traits::input_parameter< NumericVector >::type dose(doseSEXP); + Rcpp::traits::input_parameter< NumericVector >::type tumor(tumorSEXP); + Rcpp::traits::input_parameter< NumericVector >::type daysOnStudy(daysOnStudySEXP); + rcpp_result_gen = Rcpp::wrap(polyk(dose, tumor, daysOnStudy)); + return rcpp_result_gen; +END_RCPP +} +// setseedGSL +void setseedGSL(int s); +RcppExport SEXP _ToxicR_setseedGSL(SEXP sSEXP) { +BEGIN_RCPP + Rcpp::RNGScope rcpp_rngScope_gen; + Rcpp::traits::input_parameter< int >::type s(sSEXP); + setseedGSL(s); + return R_NilValue; +END_RCPP +} +// set_threads +int set_threads(int num_threads); +RcppExport SEXP _ToxicR_set_threads(SEXP num_threadsSEXP) { +BEGIN_RCPP + Rcpp::RObject rcpp_result_gen; + Rcpp::RNGScope rcpp_rngScope_gen; + Rcpp::traits::input_parameter< int >::type num_threads(num_threadsSEXP); + rcpp_result_gen = Rcpp::wrap(set_threads(num_threads)); + return rcpp_result_gen; +END_RCPP +} + +static const R_CallMethodDef CallEntries[] = { + {"_ToxicR_owenst_fn", (DL_FUNC) &_ToxicR_owenst_fn, 2}, + {"_ToxicR_run_single_dichotomous", (DL_FUNC) &_ToxicR_run_single_dichotomous, 6}, + {"_ToxicR_run_continuous_single", (DL_FUNC) &_ToxicR_run_continuous_single, 7}, + {"_ToxicR_run_continuous_ma_laplace", (DL_FUNC) &_ToxicR_run_continuous_ma_laplace, 7}, + {"_ToxicR_run_continuous_ma_mcmc", (DL_FUNC) &_ToxicR_run_continuous_ma_mcmc, 7}, + {"_ToxicR_run_ma_dichotomous", (DL_FUNC) &_ToxicR_run_ma_dichotomous, 8}, + {"_ToxicR_run_dichotomous_single_mcmc", (DL_FUNC) &_ToxicR_run_dichotomous_single_mcmc, 6}, + {"_ToxicR_run_continuous_single_mcmc", (DL_FUNC) &_ToxicR_run_continuous_single_mcmc, 8}, + {"_ToxicR_polyk", (DL_FUNC) &_ToxicR_polyk, 3}, + {"_ToxicR_setseedGSL", (DL_FUNC) &_ToxicR_setseedGSL, 1}, + {"_ToxicR_set_threads", (DL_FUNC) &_ToxicR_set_threads, 1}, + {NULL, NULL, 0} +}; + +RcppExport void R_init_ToxicR(DllInfo *dll) { + R_registerRoutines(dll, NULL, CallEntries, NULL, NULL); + R_useDynamicSymbols(dll, FALSE); +} diff --git a/src/code_base/DichGammaBMD_NC.cpp b/src/code_base/DichGammaBMD_NC.cpp index f95e03e..452ff77 100644 --- a/src/code_base/DichGammaBMD_NC.cpp +++ b/src/code_base/DichGammaBMD_NC.cpp @@ -2,14 +2,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/DichLogProbitBMD_NC.cpp b/src/code_base/DichLogProbitBMD_NC.cpp index c4c9c3d..3ff5453 100644 --- a/src/code_base/DichLogProbitBMD_NC.cpp +++ b/src/code_base/DichLogProbitBMD_NC.cpp @@ -6,14 +6,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/DichLogisticBMD_NC.cpp b/src/code_base/DichLogisticBMD_NC.cpp index ec5b102..6892183 100644 --- a/src/code_base/DichLogisticBMD_NC.cpp +++ b/src/code_base/DichLogisticBMD_NC.cpp @@ -3,14 +3,15 @@ #ifdef R_COMPILATION // necessary things to run in R #include -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #else #include #endif diff --git a/src/code_base/DichProbitBMD_NC.cpp b/src/code_base/DichProbitBMD_NC.cpp index 417a06f..9612eac 100644 --- a/src/code_base/DichProbitBMD_NC.cpp +++ b/src/code_base/DichProbitBMD_NC.cpp @@ -3,14 +3,15 @@ #ifdef R_COMPILATION // necessary things to run in R #include -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #else #include #endif diff --git a/src/code_base/DichQlinearBMD_NC.cpp b/src/code_base/DichQlinearBMD_NC.cpp index 8529515..e7c5023 100644 --- a/src/code_base/DichQlinearBMD_NC.cpp +++ b/src/code_base/DichQlinearBMD_NC.cpp @@ -3,14 +3,15 @@ #ifdef R_COMPILATION // necessary things to run in R #include -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #else #include #endif diff --git a/src/code_base/DichWeibullBMD_NC.cpp b/src/code_base/DichWeibullBMD_NC.cpp index 8786b5f..81f6f99 100644 --- a/src/code_base/DichWeibullBMD_NC.cpp +++ b/src/code_base/DichWeibullBMD_NC.cpp @@ -3,14 +3,15 @@ #ifdef R_COMPILATION // necessary things to run in R #include -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #else #include #endif diff --git a/src/code_base/IDPrior.cpp b/src/code_base/IDPrior.cpp index d03fceb..5c798ca 100644 --- a/src/code_base/IDPrior.cpp +++ b/src/code_base/IDPrior.cpp @@ -2,14 +2,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/IDPriorMCMC.cpp b/src/code_base/IDPriorMCMC.cpp index fd706bf..106fee5 100644 --- a/src/code_base/IDPriorMCMC.cpp +++ b/src/code_base/IDPriorMCMC.cpp @@ -2,14 +2,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/analysis_of_deviance.cpp b/src/code_base/analysis_of_deviance.cpp index 672f09c..587f6cf 100644 --- a/src/code_base/analysis_of_deviance.cpp +++ b/src/code_base/analysis_of_deviance.cpp @@ -34,14 +34,14 @@ #endif #ifdef R_COMPILATION -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#pragma GCC diagnostic pop -#else -#include -#endif +// #endif #include using namespace Rcpp; using Rcpp::as; diff --git a/src/code_base/bmdStruct.cpp b/src/code_base/bmdStruct.cpp index 57943d5..edf80d4 100644 --- a/src/code_base/bmdStruct.cpp +++ b/src/code_base/bmdStruct.cpp @@ -1,13 +1,13 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#pragma GCC diagnostic pop -#else -#include -#endif +// #endif #include #else #include diff --git a/src/code_base/continuous_clean_aux.cpp b/src/code_base/continuous_clean_aux.cpp index 7f39bb7..8102700 100644 --- a/src/code_base/continuous_clean_aux.cpp +++ b/src/code_base/continuous_clean_aux.cpp @@ -28,14 +28,14 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#pragma GCC diagnostic pop -#else -#include -#endif +// #endif #include using namespace Rcpp; #else diff --git a/src/code_base/continuous_clean_aux.h b/src/code_base/continuous_clean_aux.h index a807f5b..9cdeea6 100644 --- a/src/code_base/continuous_clean_aux.h +++ b/src/code_base/continuous_clean_aux.h @@ -4,14 +4,14 @@ #include #ifdef R_COMPILATION -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#pragma GCC diagnostic pop -#else -#include -#endif +// #endif #include #else #include diff --git a/src/code_base/continuous_entry_code.cpp b/src/code_base/continuous_entry_code.cpp index 3e943cd..9bf5011 100644 --- a/src/code_base/continuous_entry_code.cpp +++ b/src/code_base/continuous_entry_code.cpp @@ -501,10 +501,10 @@ double compute_lognormal_dof(Eigen::MatrixXd Y, Eigen::MatrixXd X, switch (CM) { case cont_model::hill: Xd = X_gradient_cont(estimate, Y, X, suff_stat); - Xd = Xd.block(0, 0, Xd.rows(), 4); + Xd = Xd.block(0, 0, Xd.rows(), 4).eval(); cv_t = X_cov_cont(estimate, Y, X, suff_stat); pr = X_logPrior(estimate, prior); - pr = pr.block(0, 0, 4, 4); + pr = pr.block(0, 0, 4, 4).eval(); if (fabs(pr.diagonal().array().sum()) == 0) { DOF = 4.0; @@ -517,10 +517,10 @@ double compute_lognormal_dof(Eigen::MatrixXd Y, Eigen::MatrixXd X, break; case cont_model::exp_aerts: Xd = X_gradient_cont(estimate, Y, X, suff_stat); - Xd = Xd.block(0, 0, Xd.rows(), 4); + Xd = Xd.block(0, 0, Xd.rows(), 4).eval(); cv_t = X_cov_cont(estimate, Y, X, suff_stat); pr = X_logPrior(estimate, prior); - pr = pr.block(0, 0, 4, 4); + pr = pr.block(0, 0, 4, 4).eval(); if (fabs(pr.diagonal().array().sum()) == 0) { DOF = 4.0; @@ -533,10 +533,10 @@ double compute_lognormal_dof(Eigen::MatrixXd Y, Eigen::MatrixXd X, break; case cont_model::LMS: Xd = X_gradient_cont(estimate, Y, X, suff_stat); - Xd = Xd.block(0, 0, Xd.rows(), 4); + Xd = Xd.block(0, 0, Xd.rows(), 4).eval(); cv_t = X_cov_cont(estimate, Y, X, suff_stat); pr = X_logPrior(estimate, prior); - pr = pr.block(0, 0, 4, 4); + pr = pr.block(0, 0, 4, 4).eval(); if (fabs(pr.diagonal().array().sum()) == 0) { DOF = 4.0; @@ -549,10 +549,10 @@ double compute_lognormal_dof(Eigen::MatrixXd Y, Eigen::MatrixXd X, break; case cont_model::gamma_efsa: Xd = X_gradient_cont(estimate, Y, X, suff_stat); - Xd = Xd.block(0, 0, Xd.rows(), 4); + Xd = Xd.block(0, 0, Xd.rows(), 4).eval(); cv_t = X_cov_cont(estimate, Y, X, suff_stat); pr = X_logPrior(estimate, prior); - pr = pr.block(0, 0, 4, 4); + pr = pr.block(0, 0, 4, 4).eval(); if (fabs(pr.diagonal().array().sum()) == 0) { DOF = 4.0; @@ -565,10 +565,10 @@ double compute_lognormal_dof(Eigen::MatrixXd Y, Eigen::MatrixXd X, break; case cont_model::invexp_aerts: Xd = X_gradient_cont(estimate, Y, X, suff_stat); - Xd = Xd.block(0, 0, Xd.rows(), 4); + Xd = Xd.block(0, 0, Xd.rows(), 4).eval(); cv_t = X_cov_cont(estimate, Y, X, suff_stat); pr = X_logPrior(estimate, prior); - pr = pr.block(0, 0, 4, 4); + pr = pr.block(0, 0, 4, 4).eval(); if (fabs(pr.diagonal().array().sum()) == 0) { DOF = 4.0; @@ -615,10 +615,10 @@ double compute_lognormal_dof(Eigen::MatrixXd Y, Eigen::MatrixXd X, break; case cont_model::hill_aerts: Xd = X_gradient_cont(estimate, Y, X, suff_stat); - Xd = Xd.block(0, 0, Xd.rows(), 4); + Xd = Xd.block(0, 0, Xd.rows(), 4).eval(); cv_t = X_cov_cont(estimate, Y, X, suff_stat); pr = X_logPrior(estimate, prior); - pr = pr.block(0, 0, 4, 4); + pr = pr.block(0, 0, 4, 4).eval(); if (fabs(pr.diagonal().array().sum()) == 0) { DOF = 4.0; @@ -666,11 +666,11 @@ double compute_lognormal_dof(Eigen::MatrixXd Y, Eigen::MatrixXd X, case cont_model::lognormal_aerts: Xd = X_gradient_cont(estimate, Y, X, suff_stat); - Xd = Xd.block(0, 0, Xd.rows(), 4); + Xd = Xd.block(0, 0, Xd.rows(), 4).eval(); cv_t = X_cov_cont(estimate, Y, X, suff_stat); pr = X_logPrior(estimate, prior); - pr = pr.block(0, 0, 4, 4); + pr = pr.block(0, 0, 4, 4).eval(); if (fabs(pr.diagonal().array().sum()) == 0) { DOF = 4.0; @@ -719,11 +719,11 @@ double compute_lognormal_dof(Eigen::MatrixXd Y, Eigen::MatrixXd X, case cont_model::logistic_aerts: Xd = X_gradient_cont(estimate, Y, X, suff_stat); - Xd = Xd.block(0, 0, Xd.rows(), 4); + Xd = Xd.block(0, 0, Xd.rows(), 4).eval(); cv_t = X_cov_cont(estimate, Y, X, suff_stat); pr = X_logPrior(estimate, prior); - pr = pr.block(0, 0, 4, 4); + pr = pr.block(0, 0, 4, 4).eval(); if (fabs(pr.diagonal().array().sum()) == 0) { DOF = 4.0; @@ -737,10 +737,10 @@ double compute_lognormal_dof(Eigen::MatrixXd Y, Eigen::MatrixXd X, case cont_model::probit_aerts: Xd = X_gradient_cont(estimate, Y, X, suff_stat); - Xd = Xd.block(0, 0, Xd.rows(), 4); + Xd = Xd.block(0, 0, Xd.rows(), 4).eval(); cv_t = X_cov_cont(estimate, Y, X, suff_stat); pr = X_logPrior(estimate, prior); - pr = pr.block(0, 0, 4, 4); + pr = pr.block(0, 0, 4, 4).eval(); if (fabs(pr.diagonal().array().sum()) == 0) { DOF = 4.0; @@ -795,10 +795,10 @@ double compute_lognormal_dof(Eigen::MatrixXd Y, Eigen::MatrixXd X, NORMAL_EXP5_DOWN); } - Eigen::MatrixXd temp_Xd = Xd.block(0, 0, Xd.rows(), 4); + Eigen::MatrixXd temp_Xd = Xd.block(0, 0, Xd.rows(), 4).eval(); Xd = temp_Xd; pr = X_logPrior(estimate, prior); - temp_Xd = pr.block(0, 0, 4, 4); + temp_Xd = pr.block(0, 0, 4, 4).eval(); pr = temp_Xd; if (fabs(pr.diagonal().array().sum()) == 0) { DOF = 4.0; @@ -856,11 +856,11 @@ double compute_normal_dof(Eigen::MatrixXd Y, Eigen::MatrixXd X, break; case cont_model::hill: Xd = X_gradient_cont_norm(estimate, Y, X, suff_stat, CV); - temp_block = Xd.block(0, 0, Xd.rows(), 4); + temp_block = Xd.block(0, 0, Xd.rows(), 4).eval(); Xd = temp_block; cv_t = X_cov_cont_norm(estimate, Y, X, suff_stat, CV); pr = X_logPrior(estimate, prior); - temp_block = pr.block(0, 0, 4, 4); + temp_block = pr.block(0, 0, 4, 4).eval(); pr = temp_block; if (fabs(pr.diagonal().array().sum()) == 0) { @@ -876,12 +876,12 @@ double compute_normal_dof(Eigen::MatrixXd Y, Eigen::MatrixXd X, case cont_model::exp_aerts: Xd = X_gradient_cont_norm(estimate, Y, X, suff_stat, CV); - temp_block = Xd.block(0, 0, Xd.rows(), 4); + temp_block = Xd.block(0, 0, Xd.rows(), 4).eval(); Xd = temp_block; cv_t = X_cov_cont_norm(estimate, Y, X, suff_stat, CV); pr = X_logPrior(estimate, prior); - temp_block = pr.block(0, 0, 4, 4); + temp_block = pr.block(0, 0, 4, 4).eval(); pr = temp_block; if (fabs(pr.diagonal().array().sum()) == 0) { @@ -896,11 +896,11 @@ double compute_normal_dof(Eigen::MatrixXd Y, Eigen::MatrixXd X, break; case cont_model::LMS: Xd = X_gradient_cont_norm(estimate, Y, X, suff_stat, CV); - temp_block = Xd.block(0, 0, Xd.rows(), 4); + temp_block = Xd.block(0, 0, Xd.rows(), 4).eval(); Xd = temp_block; cv_t = X_cov_cont_norm(estimate, Y, X, suff_stat, CV); pr = X_logPrior(estimate, prior); - temp_block = pr.block(0, 0, 4, 4); + temp_block = pr.block(0, 0, 4, 4).eval(); pr = temp_block; if (fabs(pr.diagonal().array().sum()) == 0) { @@ -916,12 +916,12 @@ double compute_normal_dof(Eigen::MatrixXd Y, Eigen::MatrixXd X, case cont_model::gamma_efsa: Xd = X_gradient_cont_norm(estimate, Y, X, suff_stat, CV); - temp_block = Xd.block(0, 0, Xd.rows(), 4); + temp_block = Xd.block(0, 0, Xd.rows(), 4).eval(); Xd = temp_block; cv_t = X_cov_cont_norm(estimate, Y, X, suff_stat, CV); pr = X_logPrior(estimate, prior); - temp_block = pr.block(0, 0, 4, 4); + temp_block = pr.block(0, 0, 4, 4).eval(); pr = temp_block; if (fabs(pr.diagonal().array().sum()) == 0) { @@ -937,12 +937,12 @@ double compute_normal_dof(Eigen::MatrixXd Y, Eigen::MatrixXd X, case cont_model::invexp_aerts: Xd = X_gradient_cont_norm(estimate, Y, X, suff_stat, CV); - temp_block = Xd.block(0, 0, Xd.rows(), 4); + temp_block = Xd.block(0, 0, Xd.rows(), 4).eval(); Xd = temp_block; cv_t = X_cov_cont_norm(estimate, Y, X, suff_stat, CV); pr = X_logPrior(estimate, prior); - temp_block = pr.block(0, 0, 4, 4); + temp_block = pr.block(0, 0, 4, 4).eval(); pr = temp_block; if (fabs(pr.diagonal().array().sum()) == 0) { @@ -958,12 +958,12 @@ double compute_normal_dof(Eigen::MatrixXd Y, Eigen::MatrixXd X, case cont_model::hill_aerts: Xd = X_gradient_cont_norm(estimate, Y, X, suff_stat, CV); - temp_block = Xd.block(0, 0, Xd.rows(), 4); + temp_block = Xd.block(0, 0, Xd.rows(), 4).eval(); Xd = temp_block; cv_t = X_cov_cont_norm(estimate, Y, X, suff_stat, CV); pr = X_logPrior(estimate, prior); - temp_block = pr.block(0, 0, 4, 4); + temp_block = pr.block(0, 0, 4, 4).eval(); pr = temp_block; if (fabs(pr.diagonal().array().sum()) == 0) { @@ -979,12 +979,12 @@ double compute_normal_dof(Eigen::MatrixXd Y, Eigen::MatrixXd X, case cont_model::lognormal_aerts: Xd = X_gradient_cont_norm(estimate, Y, X, suff_stat, CV); - temp_block = Xd.block(0, 0, Xd.rows(), 4); + temp_block = Xd.block(0, 0, Xd.rows(), 4).eval(); Xd = temp_block; cv_t = X_cov_cont_norm(estimate, Y, X, suff_stat, CV); pr = X_logPrior(estimate, prior); - temp_block = pr.block(0, 0, 4, 4); + temp_block = pr.block(0, 0, 4, 4).eval(); pr = temp_block; if (fabs(pr.diagonal().array().sum()) == 0) { @@ -1000,12 +1000,12 @@ double compute_normal_dof(Eigen::MatrixXd Y, Eigen::MatrixXd X, case cont_model::logistic_aerts: Xd = X_gradient_cont_norm(estimate, Y, X, suff_stat, CV); - temp_block = Xd.block(0, 0, Xd.rows(), 4); + temp_block = Xd.block(0, 0, Xd.rows(), 4).eval(); Xd = temp_block; cv_t = X_cov_cont_norm(estimate, Y, X, suff_stat, CV); pr = X_logPrior(estimate, prior); - temp_block = pr.block(0, 0, 4, 4); + temp_block = pr.block(0, 0, 4, 4).eval(); pr = temp_block; if (fabs(pr.diagonal().array().sum()) == 0) { @@ -1021,12 +1021,12 @@ double compute_normal_dof(Eigen::MatrixXd Y, Eigen::MatrixXd X, case cont_model::probit_aerts: Xd = X_gradient_cont_norm(estimate, Y, X, suff_stat, CV); - temp_block = Xd.block(0, 0, Xd.rows(), 4); + temp_block = Xd.block(0, 0, Xd.rows(), 4).eval(); Xd = temp_block; cv_t = X_cov_cont_norm(estimate, Y, X, suff_stat, CV); pr = X_logPrior(estimate, prior); - temp_block = pr.block(0, 0, 4, 4); + temp_block = pr.block(0, 0, 4, 4).eval(); pr = temp_block; if (fabs(pr.diagonal().array().sum()) == 0) { @@ -1462,8 +1462,8 @@ bmd_analysis laplace_logNormal(Eigen::MatrixXd Y, Eigen::MatrixXd X, if (isFast) { a = bmd_fast_BMD_cont( - likelihood_lnigammaeu, model_prior, fixedB, fixedV, riskType, bmrf, bk_prob, - is_increasing, init); + likelihood_lnigammaeu, model_prior, fixedB, fixedV, riskType, bmrf, + bk_prob, is_increasing, init); } else { a = bmd_analysis_CNC( likelihood_lnigammaeu, model_prior, fixedB, fixedV, riskType, bmrf, @@ -1477,8 +1477,8 @@ bmd_analysis laplace_logNormal(Eigen::MatrixXd Y, Eigen::MatrixXd X, if (isFast) { a = bmd_fast_BMD_cont( - likelihood_lnhilleu, model_prior, fixedB, fixedV, riskType, bmrf, bk_prob, - is_increasing, init); + likelihood_lnhilleu, model_prior, fixedB, fixedV, riskType, bmrf, + bk_prob, is_increasing, init); } else { a = bmd_analysis_CNC( likelihood_lnhilleu, model_prior, fixedB, fixedV, riskType, bmrf, @@ -1614,8 +1614,8 @@ bmd_analysis laplace_logNormal(Eigen::MatrixXd Y, Eigen::MatrixXd X, } else { if (isFast) { a = bmd_fast_BMD_cont( - likelihood_lnexp3D, model_prior, fixedB, fixedV, riskType, bmrf, bk_prob, - is_increasing, init); + likelihood_lnexp3D, model_prior, fixedB, fixedV, riskType, bmrf, + bk_prob, is_increasing, init); } else { a = bmd_analysis_CNC( likelihood_lnexp3D, model_prior, fixedB, fixedV, riskType, bmrf, @@ -1634,8 +1634,8 @@ bmd_analysis laplace_logNormal(Eigen::MatrixXd Y, Eigen::MatrixXd X, if (is_increasing) { if (isFast) { a = bmd_fast_BMD_cont( - likelihood_lnexp5U, model_prior, fixedB, fixedV, riskType, bmrf, bk_prob, - is_increasing, init); + likelihood_lnexp5U, model_prior, fixedB, fixedV, riskType, bmrf, + bk_prob, is_increasing, init); } else { a = bmd_analysis_CNC( likelihood_lnexp5U, model_prior, fixedB, fixedV, riskType, bmrf, @@ -1645,8 +1645,8 @@ bmd_analysis laplace_logNormal(Eigen::MatrixXd Y, Eigen::MatrixXd X, if (isFast) { a = bmd_fast_BMD_cont( - likelihood_lnexp5D, model_prior, fixedB, fixedV, riskType, bmrf, bk_prob, - is_increasing, init); + likelihood_lnexp5D, model_prior, fixedB, fixedV, riskType, bmrf, + bk_prob, is_increasing, init); } else { a = bmd_analysis_CNC( likelihood_lnexp5D, model_prior, fixedB, fixedV, riskType, bmrf, @@ -2310,447 +2310,432 @@ void estimate_ma_laplace(continuousMA_analysis *MA, continuous_analysis *CA, } // std::vector b(MA->nmodels); bmd_analysis *b = new bmd_analysis[MA->nmodels]; - Seeder *seeder = Seeder::getInstance(); - int seed = seeder->currentSeed; - // Rcpp::Rcout << "current seed: " << seed << std::endl; -#pragma omp parallel - { -#pragma omp for - for (int i = 0; i < MA->nmodels; i++) { - // NOTE: do not remove - need to set the same seed for each parallel openmp thread for reproducible and consistent results - seeder->setSeed(seed); - std::vector fixedB; - std::vector fixedV; - // on each iteration make sure there parameters are emptied - fixedB.clear(); - fixedV.clear(); - Eigen::MatrixXd tprior(MA->nparms[i], MA->prior_cols[i]); - for (int m = 0; m < MA->nparms[i]; m++) { - fixedB.push_back(false); - fixedV.push_back(0.0); - for (int n = 0; n < MA->prior_cols[i]; n++) { - tprior(m, n) = MA->priors[i][m + n * MA->nparms[i]]; - } +// #pragma omp parallel for + for (int i = 0; i < MA->nmodels; i++) { + std::vector fixedB; + std::vector fixedV; + // on each iteration make sure there parameters are emptied + fixedB.clear(); + fixedV.clear(); + Eigen::MatrixXd tprior(MA->nparms[i], MA->prior_cols[i]); + for (int m = 0; m < MA->nparms[i]; m++) { + fixedB.push_back(false); + fixedV.push_back(0.0); + for (int n = 0; n < MA->prior_cols[i]; n++) { + tprior(m, n) = MA->priors[i][m + n * MA->nparms[i]]; } + } - Eigen::MatrixXd temp_init = - initialize_model(Y_N, Y_LN, X, tprior, (distribution)MA->disttype[i], - (cont_model)MA->models[i]); + Eigen::MatrixXd temp_init = + initialize_model(Y_N, Y_LN, X, tprior, (distribution)MA->disttype[i], + (cont_model)MA->models[i]); - temp_init = temp_init.array(); + temp_init = temp_init.array(); - Eigen::MatrixXd init_opt; - switch ((cont_model)MA->models[i]) { - case cont_model::funl: - init_opt = bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, CA->isIncreasing); - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::hill: - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + Eigen::MatrixXd init_opt; + switch ((cont_model)MA->models[i]) { + case cont_model::funl: + init_opt = bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, CA->isIncreasing); + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::hill: + init_opt = + MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::exp_aerts: - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::exp_aerts: + init_opt = + MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::LMS: - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::LMS: + init_opt = + MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::gamma_efsa: - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::gamma_efsa: + init_opt = + MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::invexp_aerts: - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::invexp_aerts: + init_opt = + MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::gamma_aerts: - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::gamma_aerts: + init_opt = + MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::invgamma_aerts: - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::invgamma_aerts: + init_opt = + MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::hill_aerts: - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::hill_aerts: + init_opt = + MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::lomax_aerts: - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::lomax_aerts: + init_opt = + MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::invlomax_aerts: - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::invlomax_aerts: + init_opt = + MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::lognormal_aerts: - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::lognormal_aerts: + init_opt = + MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::logskew_aerts: - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::logskew_aerts: + init_opt = + MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::invlogskew_aerts: - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::invlogskew_aerts: + init_opt = + MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::logistic_aerts: - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::logistic_aerts: + init_opt = + MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::probit_aerts: - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::probit_aerts: + init_opt = + MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::exp_5: - - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::exp_3: + break; + case cont_model::exp_5: - init_opt = MA->disttype[i] == distribution::log_normal - ? + init_opt = + MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::exp_3: - bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); + init_opt = + MA->disttype[i] == distribution::log_normal + ? - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, CA->isIncreasing, + temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); - break; - case cont_model::power: - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::polynomial: - init_opt = bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, CA->degree); + break; + case cont_model::power: + init_opt = + MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); - break; - default: - break; - } + break; + case cont_model::polynomial: + init_opt = bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, CA->degree); - // now you fit it based upon the original data - if (MA->disttype[i] == distribution::log_normal) { + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); + break; + default: + break; + } - if (CA->suff_stat) { - b[i] = laplace_logNormal(orig_Y_LN, X, tprior, CA->BMD_type, - (cont_model)MA->models[i], CA->isIncreasing, - CA->BMR, CA->tail_prob, CA->alpha, 0.025, - init_opt, false); + // now you fit it based upon the original data + if (MA->disttype[i] == distribution::log_normal) { - } else { - b[i] = laplace_logNormal(orig_Y_LN, X, tprior, CA->BMD_type, - (cont_model)MA->models[i], CA->isIncreasing, - CA->BMR, CA->tail_prob, CA->alpha, 0.025, - init_opt, false); - } + if (CA->suff_stat) { + b[i] = laplace_logNormal(orig_Y_LN, X, tprior, CA->BMD_type, + (cont_model)MA->models[i], CA->isIncreasing, + CA->BMR, CA->tail_prob, CA->alpha, 0.025, + init_opt, false); } else { + b[i] = laplace_logNormal(orig_Y_LN, X, tprior, CA->BMD_type, + (cont_model)MA->models[i], CA->isIncreasing, + CA->BMR, CA->tail_prob, CA->alpha, 0.025, + init_opt, false); + } - bool isNCV = MA->disttype[i] == distribution::normal_ncv ? false : true; - if (CA->suff_stat) { - b[i] = laplace_Normal(orig_Y, X, tprior, CA->BMD_type, - (cont_model)MA->models[i], CA->isIncreasing, - isNCV, CA->BMR, CA->tail_prob, CA->alpha, 0.025, - init_opt, false); - - } else { - b[i] = laplace_Normal(orig_Y, X, tprior, CA->BMD_type, - (cont_model)MA->models[i], CA->isIncreasing, - isNCV, CA->BMR, CA->tail_prob, CA->alpha, 0.025, - init_opt, false); - } + } else { + + bool isNCV = MA->disttype[i] == distribution::normal_ncv ? false : true; + if (CA->suff_stat) { + b[i] = laplace_Normal(orig_Y, X, tprior, CA->BMD_type, + (cont_model)MA->models[i], CA->isIncreasing, + isNCV, CA->BMR, CA->tail_prob, CA->alpha, 0.025, + init_opt, false); + + } else { + b[i] = laplace_Normal(orig_Y, X, tprior, CA->BMD_type, + (cont_model)MA->models[i], CA->isIncreasing, + isNCV, CA->BMR, CA->tail_prob, CA->alpha, 0.025, + init_opt, false); } } } - // post probs are different right now. should be stable if everything works correctly + // post probs are different right now. should be stable if everything works + // correctly for (int j = 0; j < MA->nmodels; j++) { b[j].COV = @@ -2787,18 +2772,6 @@ void estimate_ma_laplace(continuousMA_analysis *MA, continuous_analysis *CA, post_probs[i] = exp(post_probs[i]); } - // // post probs are different right now. should be stable if everything works correctly - // for (int j = 0; j < MA->nmodels; j++) { - - // b[j].COV = - // rescale_cov_matrix(b[j].COV, b[j].MAP_ESTIMATE, - // (cont_model)MA->models[j], max_dose, 1.0, false); - // b[j].MAP_ESTIMATE = rescale_parms( - // b[j].MAP_ESTIMATE, (cont_model)MA->models[j], max_dose, 1.0, false); - // b[j].MAP_BMD *= max_dose; - // b[j].BMD_CDF.set_multiple(max_dose); - // } - for (int j = 0; j < MA->nmodels; j++) { post_probs[j] = post_probs[j] / norm_sum; @@ -3661,399 +3634,382 @@ void estimate_ma_MCMC(continuousMA_analysis *MA, continuous_analysis *CA, unsigned int samples = CA->samples; unsigned int burnin = CA->burnin; - - Seeder *seeder = Seeder::getInstance(); - int seed = seeder->currentSeed; - // Rcpp::Rcout << "current seed: " << seed << std::endl; -#pragma omp parallel - { -#pragma omp for - for (int i = 0; i < MA->nmodels; i++) { - // NOTE: do not remove - need to set the same seed for each parallel openmp thread for reproducible and consistent results - seeder->setSeed(seed); - std::vector fixedB; - std::vector fixedV; - fixedB - .clear(); // on each iteration make sure there parameters are emptied - fixedV.clear(); - Eigen::MatrixXd tprior(MA->nparms[i], MA->prior_cols[i]); - for (int m = 0; m < MA->nparms[i]; m++) { - fixedB.push_back(false); - fixedV.push_back(0.0); - for (int n = 0; n < MA->prior_cols[i]; n++) { - tprior(m, n) = MA->priors[i][m + n * MA->nparms[i]]; - } + +// #pragma omp parallel for + for (int i = 0; i < MA->nmodels; i++) { + std::vector fixedB; + std::vector fixedV; + fixedB.clear(); // on each iteration make sure there parameters are emptied + fixedV.clear(); + Eigen::MatrixXd tprior(MA->nparms[i], MA->prior_cols[i]); + for (int m = 0; m < MA->nparms[i]; m++) { + fixedB.push_back(false); + fixedV.push_back(0.0); + for (int n = 0; n < MA->prior_cols[i]; n++) { + tprior(m, n) = MA->priors[i][m + n * MA->nparms[i]]; } - Eigen::MatrixXd temp_init = - initialize_model(Y_N, Y_LN, X, tprior, (distribution)MA->disttype[i], - (cont_model)MA->models[i]); + } + Eigen::MatrixXd temp_init = + initialize_model(Y_N, Y_LN, X, tprior, (distribution)MA->disttype[i], + (cont_model)MA->models[i]); - temp_init = temp_init.array(); + temp_init = temp_init.array(); - Eigen::MatrixXd init_opt; - switch ((cont_model)MA->models[i]) { - case cont_model::funl: - init_opt = bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, CA->isIncreasing); + Eigen::MatrixXd init_opt; + switch ((cont_model)MA->models[i]) { + case cont_model::funl: + init_opt = bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, CA->isIncreasing); - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::hill: - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - // updated prior updated - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); - - break; - case cont_model::exp_aerts: - init_opt = MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - // updated prior updated - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::hill: + init_opt = + MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + // updated prior updated + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::LMS: - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - // updated prior updated - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::exp_aerts: + init_opt = MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + // updated prior updated + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::invexp_aerts: - init_opt = MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - // updated prior updated - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::LMS: + init_opt = + MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + // updated prior updated + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::gamma_efsa: - init_opt = MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - // updated prior updated - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::invexp_aerts: + init_opt = MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + // updated prior updated + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::gamma_aerts: - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - // updated prior updated - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::gamma_efsa: + init_opt = MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + // updated prior updated + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::invgamma_aerts: - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - // updated prior updated - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::gamma_aerts: + init_opt = MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + // updated prior updated + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::hill_aerts: - init_opt = MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - // updated prior updated - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::invgamma_aerts: + init_opt = MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + // updated prior updated + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::lomax_aerts: - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - // updated prior updated - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::hill_aerts: + init_opt = MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + // updated prior updated + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::invlomax_aerts: - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - // updated prior updated - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::lomax_aerts: + init_opt = MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + // updated prior updated + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::lognormal_aerts: - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - // updated prior updated - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::invlomax_aerts: + init_opt = MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + // updated prior updated + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::logskew_aerts: - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - // updated prior updated - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::lognormal_aerts: + init_opt = + MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + // updated prior updated + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::invlogskew_aerts: - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - // updated prior updated - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::logskew_aerts: + init_opt = + MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + // updated prior updated + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::logistic_aerts: - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - // updated prior updated - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::invlogskew_aerts: + init_opt = + MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + // updated prior updated + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::probit_aerts: - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - // updated prior updated - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::logistic_aerts: + init_opt = + MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + // updated prior updated + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::exp_3: - case cont_model::exp_5: - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - // updated prior updated - // updated prior updated - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::probit_aerts: + init_opt = MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + // updated prior updated + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::power: - init_opt = - MA->disttype[i] == distribution::log_normal - ? bmd_continuous_optimization( - Y_LN, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init) - : bmd_continuous_optimization( - Y_N, X, tprior, fixedB, fixedV, - MA->disttype[i] != distribution::normal_ncv, - CA->isIncreasing, temp_init); - - // updated prior updated - RescaleContinuousModel( - (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, - CA->isIncreasing, MA->disttype[i] == distribution::log_normal, - MA->disttype[i] != distribution::normal_ncv); + break; + case cont_model::exp_3: + case cont_model::exp_5: + init_opt = MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + // updated prior updated + // updated prior updated + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - break; - case cont_model::polynomial: - default: - break; - } + break; + case cont_model::power: + init_opt = + MA->disttype[i] == distribution::log_normal + ? bmd_continuous_optimization( + Y_LN, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init) + : bmd_continuous_optimization( + Y_N, X, tprior, fixedB, fixedV, + MA->disttype[i] != distribution::normal_ncv, + CA->isIncreasing, temp_init); + + // updated prior updated + RescaleContinuousModel( + (cont_model)MA->models[i], &tprior, &init_opt, 1.0, divisor, + CA->isIncreasing, MA->disttype[i] == distribution::log_normal, + MA->disttype[i] != distribution::normal_ncv); - a[i] = MA->disttype[i] == distribution::log_normal - ? mcmc_logNormal(orig_Y_LN, X, tprior, CA->BMD_type, - (cont_model)MA->models[i], CA->isIncreasing, - CA->BMR, CA->tail_prob, CA->alpha, samples, - burnin, init_opt) - : mcmc_Normal(orig_Y, X, tprior, CA->BMD_type, - (cont_model)MA->models[i], CA->isIncreasing, - MA->disttype[i] != distribution::normal_ncv, - CA->BMR, CA->tail_prob, CA->alpha, samples, - burnin, init_opt); + break; + case cont_model::polynomial: + default: + break; } + + a[i] = + MA->disttype[i] == distribution::log_normal + ? mcmc_logNormal(orig_Y_LN, X, tprior, CA->BMD_type, + (cont_model)MA->models[i], CA->isIncreasing, + CA->BMR, CA->tail_prob, CA->alpha, samples, burnin, + init_opt) + : mcmc_Normal(orig_Y, X, tprior, CA->BMD_type, + (cont_model)MA->models[i], CA->isIncreasing, + MA->disttype[i] != distribution::normal_ncv, CA->BMR, + CA->tail_prob, CA->alpha, samples, burnin, init_opt); } ///////////////////////////////////////// @@ -4261,7 +4217,6 @@ void estimate_ma_MCMC(continuousMA_analysis *MA, continuous_analysis *CA, void estimate_sm_laplace(continuous_analysis *CA, continuous_model_result *res, bool isFast) { // standardize the data - int n_rows = CA->n; int n_cols = CA->suff_stat ? 3 : 1; bool tempsa = CA->suff_stat; @@ -4391,6 +4346,7 @@ void estimate_sm_laplace(continuous_analysis *CA, continuous_model_result *res, CA->disttype != distribution::normal_ncv, CA->isIncreasing, temp_init); } + RescaleContinuousModel((cont_model)CA->model, &tprior, &init_opt, 1.0, divisor, CA->isIncreasing, CA->disttype == distribution::log_normal, @@ -5309,7 +5265,6 @@ void estimate_sm_mcmc(continuous_analysis *CA, continuous_model_result *res, */ void estimate_log_normal_aod(continuous_analysis *CA, continuous_deviance *aod) { - // standardize the data int n_rows = CA->n; int n_cols = CA->suff_stat ? 3 : 1; @@ -5347,15 +5302,14 @@ void estimate_log_normal_aod(continuous_analysis *CA, aod->A1 = std::numeric_limits::infinity(); aod->A2 = std::numeric_limits::infinity(); aod->A3 = std::numeric_limits::infinity(); - return; } else { Y_LN = SSTAT_LN; Eigen::MatrixXd temp = Y_LN.col(2); Y_LN.col(2) = Y_LN.col(1); Y_LN.col(1) = temp; log_normal_AOD_fits(Y_LN, UX, can_be_suff, aod); - return; } + return; } /* @@ -5404,16 +5358,15 @@ void estimate_normal_aod(continuous_analysis *CA, continuous_deviance *aod) { aod->A1 = std::numeric_limits::infinity(); aod->A2 = std::numeric_limits::infinity(); aod->A3 = std::numeric_limits::infinity(); - - return; } else { Y_N = SSTAT; Eigen::MatrixXd temp = Y_N.col(2); Y_N.col(2) = Y_N.col(1); Y_N.col(1) = temp; normal_AOD_fits(Y_N, UX, can_be_suff, aod); - return; } + + return; } void estimate_normal_variance(continuous_analysis *CA, double *v_c, diff --git a/src/code_base/continuous_entry_code.h b/src/code_base/continuous_entry_code.h index e7f10cb..2ab35eb 100644 --- a/src/code_base/continuous_entry_code.h +++ b/src/code_base/continuous_entry_code.h @@ -31,14 +31,14 @@ #endif #ifdef R_COMPILATION -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#pragma GCC diagnostic pop -#else -#include -#endif +// #endif #include using namespace Rcpp; using Rcpp::as; @@ -134,7 +134,7 @@ Eigen::MatrixXd X_gradient_cont_norm(Eigen::MatrixXd theta, Eigen::MatrixXd Y, LL data_likelihood(Y, D, SS, CV, junk); Eigen::MatrixXd rValue(Y.rows(), data_likelihood.nParms()); - double *grad = new double[data_likelihood.nParms() + 10]; + Eigen::VectorXd grad(data_likelihood.nParms() + 10); Eigen::MatrixXd md = D; for (int i = 0; i < D.rows(); i++) { @@ -144,7 +144,6 @@ Eigen::MatrixXd X_gradient_cont_norm(Eigen::MatrixXd theta, Eigen::MatrixXd Y, rValue(i, j) = grad[j]; } } - delete[] grad; return rValue; } @@ -184,10 +183,10 @@ Eigen::MatrixXd X_gradient_cont(Eigen::MatrixXd theta, Eigen::MatrixXd Y, LL data_likelihood(Y, D, SS, degree); Eigen::MatrixXd rValue(Y.rows(), data_likelihood.nParms()); + Eigen::VectorXd grad(data_likelihood.nParms()); + // double *grad = new double[data_likelihood.nParms() + 10]; - double *grad = new double[data_likelihood.nParms() + 10]; - - Eigen::MatrixXd md = D; + Eigen::VectorXd md; for (int i = 0; i < D.rows(); i++) { md = D.row(i); xgrad(theta, grad, &data_likelihood, md); @@ -196,7 +195,6 @@ Eigen::MatrixXd X_gradient_cont(Eigen::MatrixXd theta, Eigen::MatrixXd Y, } } - delete[] grad; return rValue; } diff --git a/src/code_base/continuous_model_functions.cpp b/src/code_base/continuous_model_functions.cpp index 7d5420e..5af5508 100644 --- a/src/code_base/continuous_model_functions.cpp +++ b/src/code_base/continuous_model_functions.cpp @@ -2,14 +2,14 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#pragma GCC diagnostic pop -#else -#include -#endif +// #endif #include #else #include diff --git a/src/code_base/continuous_model_functions.h b/src/code_base/continuous_model_functions.h index 4819ce0..eeefdbc 100644 --- a/src/code_base/continuous_model_functions.h +++ b/src/code_base/continuous_model_functions.h @@ -1,14 +1,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/dichotomous_entry_code.cpp b/src/code_base/dichotomous_entry_code.cpp index 5219cac..f6f866b 100644 --- a/src/code_base/dichotomous_entry_code.cpp +++ b/src/code_base/dichotomous_entry_code.cpp @@ -1,13 +1,14 @@ #include #ifdef R_COMPILATION -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#pragma GCC diagnostic pop -#else -#include -#endif +// #endif #include #else #include @@ -150,7 +151,7 @@ void rescale_var_matrix(Eigen::MatrixXd *var, Eigen::MatrixXd parms, } void rescale_dichotomous_model(mcmcSamples *v, dich_model model, double max_dose) { - // rescale the dichotomous to the origional values + // rescale the dichotomous to the original values for (int i = 0; i < v->samples.cols(); i++) { Eigen::MatrixXd temp = v->samples.col(i); @@ -163,6 +164,21 @@ void rescale_dichotomous_model(mcmcSamples *v, dich_model model, rescale(&v->map_estimate, (dich_model)model, max_dose); } +void rescale_dichotomous_model(bmd_analysis *a, dichotomous_model_result *v, + dich_model model, double max_dose, + bool do_a_rescale) { + + if (do_a_rescale) { + rescale_var_matrix(&a->COV, a->MAP_ESTIMATE, model, max_dose); + rescale(&a->MAP_ESTIMATE, model, max_dose); + } + // rescale the dichotomous to the original values + v->bmd *= max_dose; + for (int i = 0; i < v->dist_numE; i++) { + v->bmd_dist[i] *= max_dose; + } +} + void transfer_dichotomous_model(bmd_analysis a, dichotomous_model_result *model) { if (model) { @@ -330,6 +346,7 @@ void estimate_sm_laplace(dichotomous_analysis *DA, switch ((dich_model)DA->model) { case dich_model::d_hill: + // Rcpp::Rcout << "In hill model dich" << std::endl; a = bmd_analysis_DNC( Y, D, prior, fixedB, fixedV, DA->degree, DA->BMR, DA->BMD_type, DA->alpha * 0.5, 0.02); @@ -339,10 +356,9 @@ void estimate_sm_laplace(dichotomous_analysis *DA, pr = Xd.transpose() * cv_t * Xd + pr; Xd = Xd * pr.inverse() * Xd.transpose() * cv_t; res->model_df = Xd.diagonal().array().sum(); - + // Rcpp::Rcout << "model_df: " << res->model_df << std::endl; break; case dich_model::d_gamma: - a = bmd_analysis_DNC( Y, D, prior, fixedB, fixedV, DA->degree, DA->BMR, DA->BMD_type, DA->alpha * 0.5, 0.02); @@ -435,23 +451,49 @@ void estimate_sm_laplace(dichotomous_analysis *DA, pr = Xd.transpose() * cv_t * Xd + pr; Xd = Xd * pr.inverse() * Xd.transpose() * cv_t; res->model_df = Xd.diagonal().array().sum(); + break; default: break; } + int nan_count = 0; + for (int i = 0; i < res->dist_numE; i++) { + if (std::isnan(res->bmd_dist[i])) { + nan_count += 1; + } + } + // Rcpp::Rcout << "bmd_dist before rescale: " << nan_count << "/" << + // res->dist_numE << std::endl; if (do_a_rescale) { rescale_var_matrix(&a.COV, a.MAP_ESTIMATE, (dich_model)DA->model, max_dose); rescale(&a.MAP_ESTIMATE, (dich_model)DA->model, max_dose); } - transfer_dichotomous_model(a, res); - res->bmd *= max_dose; + res->bmd *= max_dose; // rescale the BMD for (int i = 0; i < res->dist_numE; i++) { res->bmd_dist[i] *= max_dose; } + // rescale_dichotomous_model(&a, res, (dich_model)DA->model, max_dose, + // do_a_rescale); + + // res->bmd *= max_dose; + // // rescale the BMD + // for (int i = 0; i < res->dist_numE; i++) { + // res->bmd_dist[i] *= max_dose; + // } + + nan_count = 0; + for (int i = 0; i < res->dist_numE; i++) { + if (std::isnan(res->bmd_dist[i])) { + nan_count += 1; + } + } + // Rcpp::Rcout << "bmd_dist after rescale: " << nan_count << "/" << + // res->dist_numE << std::endl; + res->model = DA->model; return; } @@ -459,23 +501,20 @@ void estimate_sm_laplace(dichotomous_analysis *DA, void estimate_ma_MCMC(dichotomousMA_analysis *MA, dichotomous_analysis *DA, dichotomousMA_result *res, ma_MCMCfits *ma) { -#pragma omp parallel - { -#pragma omp for - for (int i = 0; i < MA->nmodels; i++) { - dichotomous_analysis temp = *DA; // copy over the initial stuff - temp.prior = MA->priors[i]; - temp.parms = MA->actual_parms[i]; - temp.prior_cols = MA->prior_cols[i]; - temp.model = MA->models[i]; - if (MA->models[i] == dich_model::d_multistage) { - temp.degree = temp.parms - 1; - } else { - temp.degree = 0; - } - // fit the individual model - estimate_sm_mcmc(&temp, res->models[i], ma->analyses[i], false); + // #pragma omp parallel for + for (int i = 0; i < MA->nmodels; i++) { + dichotomous_analysis temp = *DA; // copy over the initial stuff + temp.prior = MA->priors[i]; + temp.parms = MA->actual_parms[i]; + temp.prior_cols = MA->prior_cols[i]; + temp.model = MA->models[i]; + if (MA->models[i] == dich_model::d_multistage) { + temp.degree = temp.parms - 1; + } else { + temp.degree = 0; } + // fit the individual model + estimate_sm_mcmc(&temp, res->models[i], ma->analyses[i], false); } double *post_probs = new double[MA->nmodels]; double temp = 0.0; @@ -606,23 +645,20 @@ void estimate_ma_MCMC(dichotomousMA_analysis *MA, dichotomous_analysis *DA, void estimate_ma_laplace(dichotomousMA_analysis *MA, dichotomous_analysis *DA, dichotomousMA_result *res) { -#pragma omp parallel - { -#pragma omp for - for (int i = 0; i < MA->nmodels; i++) { - dichotomous_analysis temp = *DA; // copy over the initial stuff - temp.prior = MA->priors[i]; - temp.parms = MA->actual_parms[i]; - temp.prior_cols = MA->prior_cols[i]; - temp.model = MA->models[i]; - if (MA->models[i] == dich_model::d_multistage) { - temp.degree = temp.parms - 1; - } else { - temp.degree = 0; - } - // fit the individual model - estimate_sm_laplace(&temp, res->models[i], false); + // #pragma omp parallel for + for (int i = 0; i < MA->nmodels; i++) { + dichotomous_analysis temp = *DA; // copy over the initial stuff + temp.prior = MA->priors[i]; + temp.parms = MA->actual_parms[i]; + temp.prior_cols = MA->prior_cols[i]; + temp.model = MA->models[i]; + if (MA->models[i] == dich_model::d_multistage) { + temp.degree = temp.parms - 1; + } else { + temp.degree = 0; } + // fit the individual model + estimate_sm_laplace(&temp, res->models[i], false); } double *post_probs = new double[MA->nmodels]; diff --git a/src/code_base/dichotomous_entry_code.h b/src/code_base/dichotomous_entry_code.h index 6645728..ab2651c 100644 --- a/src/code_base/dichotomous_entry_code.h +++ b/src/code_base/dichotomous_entry_code.h @@ -43,7 +43,7 @@ Eigen::MatrixXd X_gradient(Eigen::MatrixXd theta, Eigen::MatrixXd Y, LL data_likelihood(Y, D, degree); Eigen::MatrixXd rValue(Y.rows(), data_likelihood.nParms()); - double *grad = new double[data_likelihood.nParms()]; + Eigen::VectorXd grad(data_likelihood.nParms()); Eigen::MatrixXd md; for (int i = 0; i < D.rows(); i++) { @@ -54,7 +54,6 @@ Eigen::MatrixXd X_gradient(Eigen::MatrixXd theta, Eigen::MatrixXd Y, rValue(i, j) = grad[j] * Y(i, 1); // n*p' } } - delete[] grad; return rValue; } diff --git a/src/code_base/gradient.cpp b/src/code_base/gradient.cpp index dadbe21..84e2b3c 100644 --- a/src/code_base/gradient.cpp +++ b/src/code_base/gradient.cpp @@ -6,14 +6,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/gradient.h b/src/code_base/gradient.h index add8260..502b849 100644 --- a/src/code_base/gradient.h +++ b/src/code_base/gradient.h @@ -1,13 +1,14 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include @@ -26,7 +27,7 @@ void gradient(Eigen::MatrixXd v, double *g, void *data, std::function math_func); template -void xgrad2(Eigen::MatrixXd v, double *g, LL *data, Eigen::MatrixXd dose) { +void xgrad2(Eigen::MatrixXd v, Eigen::VectorXd &g, LL *data, Eigen::MatrixXd dose) { Eigen::VectorXd h(v.rows()); double mpres = pow(1.0e-16, 0.33333); @@ -66,7 +67,7 @@ void xgrad2(Eigen::MatrixXd v, double *g, LL *data, Eigen::MatrixXd dose) { } template -void xgrad(Eigen::MatrixXd v, double *g, LL *data, Eigen::MatrixXd dose) { +void xgrad(Eigen::MatrixXd v, Eigen::VectorXd &g, LL *data, Eigen::MatrixXd dose) { Eigen::VectorXd h(v.rows()); double mpres = pow(1.0e-16, 0.33333); diff --git a/src/code_base/helperfunctions.cpp b/src/code_base/helperfunctions.cpp index 460230b..c8f0f26 100644 --- a/src/code_base/helperfunctions.cpp +++ b/src/code_base/helperfunctions.cpp @@ -6,14 +6,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/lognormalModels.cpp b/src/code_base/lognormalModels.cpp index 5d1d113..9c9e5d6 100644 --- a/src/code_base/lognormalModels.cpp +++ b/src/code_base/lognormalModels.cpp @@ -13,14 +13,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/lognormal_EXP_NC.cpp b/src/code_base/lognormal_EXP_NC.cpp index 60b4036..919878a 100644 --- a/src/code_base/lognormal_EXP_NC.cpp +++ b/src/code_base/lognormal_EXP_NC.cpp @@ -3,14 +3,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/lognormal_EXP_aerts_NC.cpp b/src/code_base/lognormal_EXP_aerts_NC.cpp index bad9777..c801448 100644 --- a/src/code_base/lognormal_EXP_aerts_NC.cpp +++ b/src/code_base/lognormal_EXP_aerts_NC.cpp @@ -5,14 +5,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/lognormal_GAMMA_aerts_NC.cpp b/src/code_base/lognormal_GAMMA_aerts_NC.cpp index 027c273..7161024 100644 --- a/src/code_base/lognormal_GAMMA_aerts_NC.cpp +++ b/src/code_base/lognormal_GAMMA_aerts_NC.cpp @@ -5,14 +5,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/lognormal_GAMMA_efsa_NC.cpp b/src/code_base/lognormal_GAMMA_efsa_NC.cpp index 72bc77f..ad8a5a7 100644 --- a/src/code_base/lognormal_GAMMA_efsa_NC.cpp +++ b/src/code_base/lognormal_GAMMA_efsa_NC.cpp @@ -5,14 +5,15 @@ #ifdef R_COMPILATION //necessary things to run in R - #ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" + // necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#pragma GCC diagnostic pop -#else -#include -#endif +// #endif #include #else #include diff --git a/src/code_base/lognormal_HILL_NC.cpp b/src/code_base/lognormal_HILL_NC.cpp index a68344f..325bf2e 100644 --- a/src/code_base/lognormal_HILL_NC.cpp +++ b/src/code_base/lognormal_HILL_NC.cpp @@ -3,14 +3,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/lognormal_HILL_aerts_NC.cpp b/src/code_base/lognormal_HILL_aerts_NC.cpp index c99734a..e4091ef 100644 --- a/src/code_base/lognormal_HILL_aerts_NC.cpp +++ b/src/code_base/lognormal_HILL_aerts_NC.cpp @@ -5,14 +5,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/lognormal_IEXP_aerts_NC.cpp b/src/code_base/lognormal_IEXP_aerts_NC.cpp index 247efcc..cf64662 100644 --- a/src/code_base/lognormal_IEXP_aerts_NC.cpp +++ b/src/code_base/lognormal_IEXP_aerts_NC.cpp @@ -5,14 +5,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/lognormal_IGAMMA_aerts_NC.cpp b/src/code_base/lognormal_IGAMMA_aerts_NC.cpp index 8bd2e81..cfae173 100644 --- a/src/code_base/lognormal_IGAMMA_aerts_NC.cpp +++ b/src/code_base/lognormal_IGAMMA_aerts_NC.cpp @@ -5,14 +5,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/lognormal_ILOGSKEW_aerts_NC.cpp b/src/code_base/lognormal_ILOGSKEW_aerts_NC.cpp index 9c29c3b..83ab92c 100644 --- a/src/code_base/lognormal_ILOGSKEW_aerts_NC.cpp +++ b/src/code_base/lognormal_ILOGSKEW_aerts_NC.cpp @@ -7,14 +7,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/lognormal_ILOMAX_aerts_NC.cpp b/src/code_base/lognormal_ILOMAX_aerts_NC.cpp index 2e73157..d791e6f 100644 --- a/src/code_base/lognormal_ILOMAX_aerts_NC.cpp +++ b/src/code_base/lognormal_ILOMAX_aerts_NC.cpp @@ -5,14 +5,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/lognormal_LMS_NC.cpp b/src/code_base/lognormal_LMS_NC.cpp index 61a5f66..ec080a2 100644 --- a/src/code_base/lognormal_LMS_NC.cpp +++ b/src/code_base/lognormal_LMS_NC.cpp @@ -4,14 +4,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/lognormal_LOGISTIC_aerts_NC.cpp b/src/code_base/lognormal_LOGISTIC_aerts_NC.cpp index 6c9c86e..3f52c0d 100644 --- a/src/code_base/lognormal_LOGISTIC_aerts_NC.cpp +++ b/src/code_base/lognormal_LOGISTIC_aerts_NC.cpp @@ -5,14 +5,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/lognormal_LOGNORMAL_aerts_NC.cpp b/src/code_base/lognormal_LOGNORMAL_aerts_NC.cpp index a4584a0..e6fd637 100644 --- a/src/code_base/lognormal_LOGNORMAL_aerts_NC.cpp +++ b/src/code_base/lognormal_LOGNORMAL_aerts_NC.cpp @@ -5,14 +5,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/lognormal_LOGSKEW_aerts_NC.cpp b/src/code_base/lognormal_LOGSKEW_aerts_NC.cpp index f6855fd..16b1e80 100644 --- a/src/code_base/lognormal_LOGSKEW_aerts_NC.cpp +++ b/src/code_base/lognormal_LOGSKEW_aerts_NC.cpp @@ -7,14 +7,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/lognormal_LOMAX_aerts_NC.cpp b/src/code_base/lognormal_LOMAX_aerts_NC.cpp index 286fdf4..377ee68 100644 --- a/src/code_base/lognormal_LOMAX_aerts_NC.cpp +++ b/src/code_base/lognormal_LOMAX_aerts_NC.cpp @@ -5,14 +5,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/lognormal_POLYNOMIAL_NC.cpp b/src/code_base/lognormal_POLYNOMIAL_NC.cpp index 7152bd3..ecbb6d7 100644 --- a/src/code_base/lognormal_POLYNOMIAL_NC.cpp +++ b/src/code_base/lognormal_POLYNOMIAL_NC.cpp @@ -6,14 +6,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/lognormal_POWER_NC.cpp b/src/code_base/lognormal_POWER_NC.cpp index 6bf9aca..f606c7f 100644 --- a/src/code_base/lognormal_POWER_NC.cpp +++ b/src/code_base/lognormal_POWER_NC.cpp @@ -3,14 +3,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/lognormal_PROBIT_aerts_NC.cpp b/src/code_base/lognormal_PROBIT_aerts_NC.cpp index 7ed514e..e80f2bd 100644 --- a/src/code_base/lognormal_PROBIT_aerts_NC.cpp +++ b/src/code_base/lognormal_PROBIT_aerts_NC.cpp @@ -5,14 +5,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/normalModels.cpp b/src/code_base/normalModels.cpp index 1290871..398ec9d 100644 --- a/src/code_base/normalModels.cpp +++ b/src/code_base/normalModels.cpp @@ -13,14 +13,15 @@ #ifdef R_COMPILATION // necessary things to run in R starting_value -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#pragma GCC diagnostic pop -#else -#include -#endif +// #endif #include #else #include diff --git a/src/code_base/normal_EXP_NC.cpp b/src/code_base/normal_EXP_NC.cpp index 56edd73..2595bdf 100644 --- a/src/code_base/normal_EXP_NC.cpp +++ b/src/code_base/normal_EXP_NC.cpp @@ -3,14 +3,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/normal_EXP_aerts_NC.cpp b/src/code_base/normal_EXP_aerts_NC.cpp index 7e7e2b5..8074d51 100644 --- a/src/code_base/normal_EXP_aerts_NC.cpp +++ b/src/code_base/normal_EXP_aerts_NC.cpp @@ -4,14 +4,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/normal_FUNL_NC.cpp b/src/code_base/normal_FUNL_NC.cpp index 64cf917..22b95b0 100644 --- a/src/code_base/normal_FUNL_NC.cpp +++ b/src/code_base/normal_FUNL_NC.cpp @@ -4,14 +4,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/normal_GAMMA_aerts_NC.cpp b/src/code_base/normal_GAMMA_aerts_NC.cpp index e9317f9..25b96a2 100644 --- a/src/code_base/normal_GAMMA_aerts_NC.cpp +++ b/src/code_base/normal_GAMMA_aerts_NC.cpp @@ -4,14 +4,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/normal_GAMMA_efsa_NC.cpp b/src/code_base/normal_GAMMA_efsa_NC.cpp index 2b85513..4df3fa6 100644 --- a/src/code_base/normal_GAMMA_efsa_NC.cpp +++ b/src/code_base/normal_GAMMA_efsa_NC.cpp @@ -4,14 +4,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/normal_HILL_NC.cpp b/src/code_base/normal_HILL_NC.cpp index 410e667..b35c173 100644 --- a/src/code_base/normal_HILL_NC.cpp +++ b/src/code_base/normal_HILL_NC.cpp @@ -4,14 +4,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/normal_HILL_aerts_NC.cpp b/src/code_base/normal_HILL_aerts_NC.cpp index ea556e0..7b468ec 100644 --- a/src/code_base/normal_HILL_aerts_NC.cpp +++ b/src/code_base/normal_HILL_aerts_NC.cpp @@ -4,14 +4,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/normal_IEXP_aerts_NC.cpp b/src/code_base/normal_IEXP_aerts_NC.cpp index e5e520f..ce3c756 100644 --- a/src/code_base/normal_IEXP_aerts_NC.cpp +++ b/src/code_base/normal_IEXP_aerts_NC.cpp @@ -4,14 +4,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/normal_IGAMMA_aerts_NC.cpp b/src/code_base/normal_IGAMMA_aerts_NC.cpp index 679487f..1489d18 100644 --- a/src/code_base/normal_IGAMMA_aerts_NC.cpp +++ b/src/code_base/normal_IGAMMA_aerts_NC.cpp @@ -4,14 +4,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/normal_ILOGSKEW_aerts_NC.cpp b/src/code_base/normal_ILOGSKEW_aerts_NC.cpp index ade1d6b..1552856 100644 --- a/src/code_base/normal_ILOGSKEW_aerts_NC.cpp +++ b/src/code_base/normal_ILOGSKEW_aerts_NC.cpp @@ -6,14 +6,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/normal_ILOMAX_aerts_NC.cpp b/src/code_base/normal_ILOMAX_aerts_NC.cpp index 6367dac..1de83bd 100644 --- a/src/code_base/normal_ILOMAX_aerts_NC.cpp +++ b/src/code_base/normal_ILOMAX_aerts_NC.cpp @@ -4,14 +4,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/normal_LMS_NC.cpp b/src/code_base/normal_LMS_NC.cpp index fc548c3..f5c4796 100644 --- a/src/code_base/normal_LMS_NC.cpp +++ b/src/code_base/normal_LMS_NC.cpp @@ -4,14 +4,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/normal_LOGISTIC_aerts_NC.cpp b/src/code_base/normal_LOGISTIC_aerts_NC.cpp index 5a58688..21d1543 100644 --- a/src/code_base/normal_LOGISTIC_aerts_NC.cpp +++ b/src/code_base/normal_LOGISTIC_aerts_NC.cpp @@ -4,14 +4,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/normal_LOGNORMAL_aerts_NC.cpp b/src/code_base/normal_LOGNORMAL_aerts_NC.cpp index 7733ef3..0ba6b4d 100644 --- a/src/code_base/normal_LOGNORMAL_aerts_NC.cpp +++ b/src/code_base/normal_LOGNORMAL_aerts_NC.cpp @@ -4,14 +4,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/normal_LOGSKEW_aerts_NC.cpp b/src/code_base/normal_LOGSKEW_aerts_NC.cpp index 8830c64..a83cc96 100644 --- a/src/code_base/normal_LOGSKEW_aerts_NC.cpp +++ b/src/code_base/normal_LOGSKEW_aerts_NC.cpp @@ -6,14 +6,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/normal_LOMAX_aerts_NC.cpp b/src/code_base/normal_LOMAX_aerts_NC.cpp index d1f1cec..3c07a37 100644 --- a/src/code_base/normal_LOMAX_aerts_NC.cpp +++ b/src/code_base/normal_LOMAX_aerts_NC.cpp @@ -4,14 +4,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/normal_POLYNOMIAL_NC.cpp b/src/code_base/normal_POLYNOMIAL_NC.cpp index 3e7912d..f61de5e 100644 --- a/src/code_base/normal_POLYNOMIAL_NC.cpp +++ b/src/code_base/normal_POLYNOMIAL_NC.cpp @@ -4,14 +4,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/normal_POWER_NC.cpp b/src/code_base/normal_POWER_NC.cpp index ae84b30..2d4614a 100644 --- a/src/code_base/normal_POWER_NC.cpp +++ b/src/code_base/normal_POWER_NC.cpp @@ -4,14 +4,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/normal_PROBIT_aerts_NC.cpp b/src/code_base/normal_PROBIT_aerts_NC.cpp index 0a424f2..d9ae4aa 100644 --- a/src/code_base/normal_PROBIT_aerts_NC.cpp +++ b/src/code_base/normal_PROBIT_aerts_NC.cpp @@ -4,14 +4,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/code_base/seeder.cpp b/src/code_base/seeder.cpp new file mode 100644 index 0000000..5d500eb --- /dev/null +++ b/src/code_base/seeder.cpp @@ -0,0 +1,3 @@ +#include + +THREAD_LOCAL gsl_rng* Seeder::rng = nullptr; \ No newline at end of file diff --git a/src/code_base/skewnorm_optim.cpp b/src/code_base/skewnorm_optim.cpp index 42c3681..36371aa 100644 --- a/src/code_base/skewnorm_optim.cpp +++ b/src/code_base/skewnorm_optim.cpp @@ -4,14 +4,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/DichGammaBMD_NC.h b/src/include/DichGammaBMD_NC.h index 542f0eb..bb12dc1 100644 --- a/src/include/DichGammaBMD_NC.h +++ b/src/include/DichGammaBMD_NC.h @@ -25,14 +25,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/DichHillBMD_NC.h b/src/include/DichHillBMD_NC.h index 6e29ab0..477c9ec 100644 --- a/src/include/DichHillBMD_NC.h +++ b/src/include/DichHillBMD_NC.h @@ -18,14 +18,15 @@ #ifdef R_COMPILATION // necessary things to run in R #include -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #else #include #endif diff --git a/src/include/DichLogLogisticBMD_NC.h b/src/include/DichLogLogisticBMD_NC.h index f46d6d2..1ea06fe 100644 --- a/src/include/DichLogLogisticBMD_NC.h +++ b/src/include/DichLogLogisticBMD_NC.h @@ -16,14 +16,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/DichLogProbitBMD_NC.h b/src/include/DichLogProbitBMD_NC.h index 503bae2..c8a991a 100644 --- a/src/include/DichLogProbitBMD_NC.h +++ b/src/include/DichLogProbitBMD_NC.h @@ -28,14 +28,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/DichLogisticBMD_NC.h b/src/include/DichLogisticBMD_NC.h index c67ddd9..d9a781b 100644 --- a/src/include/DichLogisticBMD_NC.h +++ b/src/include/DichLogisticBMD_NC.h @@ -28,14 +28,15 @@ #define DichLogisticBMD_NCH #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/DichMultistageBMD_NC.h b/src/include/DichMultistageBMD_NC.h index 1f6c0a7..ebe9002 100644 --- a/src/include/DichMultistageBMD_NC.h +++ b/src/include/DichMultistageBMD_NC.h @@ -17,14 +17,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/DichProbitBMD_NC.h b/src/include/DichProbitBMD_NC.h index cd11071..70b66de 100644 --- a/src/include/DichProbitBMD_NC.h +++ b/src/include/DichProbitBMD_NC.h @@ -26,14 +26,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/DichQlinearBMD_NC.h b/src/include/DichQlinearBMD_NC.h index 23eceac..7249a5a 100644 --- a/src/include/DichQlinearBMD_NC.h +++ b/src/include/DichQlinearBMD_NC.h @@ -21,14 +21,15 @@ #define DichQlinearBMD_NCH #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/DichWeibullBMD_NC.h b/src/include/DichWeibullBMD_NC.h index ef4b133..6389eaa 100644 --- a/src/include/DichWeibullBMD_NC.h +++ b/src/include/DichWeibullBMD_NC.h @@ -26,14 +26,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/IDPrior.h b/src/include/IDPrior.h index c51453c..69c06fc 100644 --- a/src/include/IDPrior.h +++ b/src/include/IDPrior.h @@ -19,14 +19,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/IDPriorMCMC.h b/src/include/IDPriorMCMC.h index fe8a0d0..1b02e74 100644 --- a/src/include/IDPriorMCMC.h +++ b/src/include/IDPriorMCMC.h @@ -19,14 +19,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/binomModels.h b/src/include/binomModels.h index 384900b..407e283 100644 --- a/src/include/binomModels.h +++ b/src/include/binomModels.h @@ -17,14 +17,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/binomialTests.h b/src/include/binomialTests.h index 3a7332f..8ecfced 100644 --- a/src/include/binomialTests.h +++ b/src/include/binomialTests.h @@ -8,14 +8,15 @@ #include #include #include -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/bmd_calculate.h b/src/include/bmd_calculate.h index ec71a23..05a686b 100644 --- a/src/include/bmd_calculate.h +++ b/src/include/bmd_calculate.h @@ -37,14 +37,15 @@ #include #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include @@ -67,6 +68,8 @@ class bmd_cdf { public: bmd_cdf() : probs(), BMD() { + + // Rcpp::Rcout << "Init GSL bmd_cdf none" << std::endl; spline_bmd_cdf = NULL; spline_bmd_inv = NULL; acc_bmd_cdf = NULL; @@ -81,6 +84,7 @@ class bmd_cdf { bmd_cdf &operator=(const bmd_cdf &M) { + // Rcpp::Rcout << "Init GSL bmd_cdf operator" << std::endl; probs = M.probs; BMD = M.BMD; multiple = M.multiple; @@ -98,7 +102,10 @@ class bmd_cdf { error = gsl_spline_init(spline_bmd_inv, probs.data(), BMD.data(), BMD.size()); + // Rcpp::Rcout << "Init GSL bmd_cdf operator assigned splines" << std::endl; if (error) { + // Rcpp::Rcout << "Init GSL bmd_cdf operator assigned splines with error" + // << std::endl; if (spline_bmd_inv) { gsl_spline_free(spline_bmd_inv); } @@ -120,6 +127,9 @@ class bmd_cdf { BMD.size()); if (error) { + // Rcpp::Rcout + // << "Init GSL bmd_cdf operator assigned splines with error again" + // << std::endl; if (spline_bmd_inv) { gsl_spline_free(spline_bmd_inv); } @@ -147,6 +157,7 @@ class bmd_cdf { bmd_cdf(std::vector tx, std::vector ty) : probs(tx), BMD(ty) { int error; + // Rcpp::Rcout << "Init GSL bmd_cdf" << std::endl; multiple = 1.0; max_prob = *max_element(probs.begin(), probs.end()); min_prob = *min_element(probs.begin(), probs.end()); @@ -155,6 +166,7 @@ class bmd_cdf { min_BMD = *min_element(BMD.begin(), BMD.end()); if (probs.size() == BMD.size() && BMD.size() > 0) { + // Rcpp::Rcout << "Setting gsl spline" << std::endl; acc_bmd_inv = gsl_interp_accel_alloc(); acc_bmd_cdf = gsl_interp_accel_alloc(); spline_bmd_inv = gsl_spline_alloc(gsl_interp_steffen, BMD.size()); @@ -163,6 +175,7 @@ class bmd_cdf { gsl_spline_init(spline_bmd_inv, probs.data(), BMD.data(), BMD.size()); if (error) { + // Rcpp::Rcout << "GSL Init error" << std::endl; if (spline_bmd_inv) { gsl_spline_free(spline_bmd_inv); } @@ -184,6 +197,7 @@ class bmd_cdf { BMD.size()); if (error) { + // Rcpp::Rcout << "GSL Init error again" << std::endl; if (spline_bmd_inv) { gsl_spline_free(spline_bmd_inv); } @@ -201,6 +215,7 @@ class bmd_cdf { acc_bmd_cdf = NULL; spline_bmd_inv = NULL; acc_bmd_inv = NULL; + // Rcpp::Rcout << "GSL all null" << std::endl; } } } @@ -226,11 +241,18 @@ class bmd_cdf { } double inv(double p) { - if (spline_bmd_cdf != NULL && acc_bmd_cdf != NULL) { + // Rcpp::Rcout << "Spline and accelerator not NULL" << std::endl; if (p > min_prob && p < max_prob) { - return gsl_spline_eval(spline_bmd_inv, p, acc_bmd_inv) * multiple; + double result = + gsl_spline_eval(spline_bmd_inv, p, acc_bmd_inv) * multiple; + // Debugging output + // if (std::isnan(result)) { + // Rcpp::Rcout << "NaN detected in gsl_spline_eval result for p = " << p + // << std::endl; + // } + return result; } if (p < min_prob) return 0; @@ -657,8 +679,8 @@ bmd_analysis bmd_analysis_DNC(Eigen::MatrixXd Y, Eigen::MatrixXd D, dBMDModel model(dichotimousM, model_prior, fixedB, fixedV); signed int flags = OPTIM_USE_GENETIC | OPTIM_USE_SUBPLX; - optimizationResult oR = findMAP(&model, flags); + optimizationResult oR = findMAP(&model, flags); bmd_analysis rVal; double BMD = isExtra ? model.extra_riskBMDNC(BMR) : model.added_riskBMDNC(BMR); @@ -703,12 +725,22 @@ bmd_analysis bmd_analysis_DNC(Eigen::MatrixXd Y, Eigen::MatrixXd D, } } - if (!std::isinf(BMD) && !isnan(BMD) && - BMD > 0 // flag numerical thins so it doesn't blow up. - && result.rows() > 5) { - - bmd_cdf cdf(x, y); - rVal.BMD_CDF = cdf; + // if (!std::isinf(BMD) && !isnan(BMD) && + // BMD > 0 // flag numerical thins so it doesn't blow up. + // && result.rows() > 5) { + + // bmd_cdf cdf(x, y); + // rVal.BMD_CDF = cdf; + // } + if (!std::isinf(BMD) && !isnan(BMD) && BMD > 0 && result.rows() > 5 && + !x.empty() && !y.empty()) { + + try { + bmd_cdf cdf(x, y); + rVal.BMD_CDF = cdf; + } catch (const std::exception &e) { + Rcpp::Rcout << "Error initializing bmd_cdf: " << e.what() << std::endl; + } } Eigen::MatrixXd estimated_p = model.log_likelihood.mean(oR.max_parms); diff --git a/src/include/cBMDstatmod.h b/src/include/cBMDstatmod.h index 240f108..f3d55b5 100644 --- a/src/include/cBMDstatmod.h +++ b/src/include/cBMDstatmod.h @@ -18,14 +18,15 @@ #include #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include @@ -260,7 +261,7 @@ double cBMDModel::returnBMD(Eigen::MatrixXd theta, contbmd BMDType, // void *data : Extra data needed. In this case, it is a // statModel object, // which is used to -//compute the negative penalized likelihood +// compute the negative penalized likelihood ////////////////////////////////////////////////////////////////// template double cequality_constraint(unsigned n, const double *b, double *grad, @@ -372,21 +373,25 @@ optimizationResult cfindMAX_W_EQUALITY(cBMDModel *M, /////////////////////////////////////////////// opt_iter++; // iterate the optimization try counter - result = nlopt::FAILURE; // Avoid uninit var exception checking result after - // NLOPT exception + result = nlopt::FAILURE; // Avoid uninit var exception checking result + // after NLOPT exception try { result = opt.optimize(x, minf); good_opt = true; - } catch (nlopt::roundoff_limited &exc) { + } catch (nlopt::roundoff_limited2 &exc) { good_opt = false; // cout << "Error Round off" << endl; } catch (nlopt::forced_stop &exc) { good_opt = false; // cout << "Error Forced stop" << endl; } catch (const std::invalid_argument &exc) { + // Rcpp::Rcout << "NLOPT result code: " << result << std::endl; good_opt = false; // cout << "SHIT!!" << endl; + } catch (const std::runtime_error &exc) { + // Rcpp::Rcout << "NLOPT result code: " << result << std::endl; } catch (const std::exception &exc) { + // Rcpp::Rcout << "NLOPT result code: " << result << std::endl; good_opt = false; // cout << "Exception!!" << endl; } @@ -438,7 +443,7 @@ optimizationResult cfindMAX_W_EQUALITY(cBMDModel *M, // void *data : Extra data needed. In this case, it is a // statModel object, // which is used to -//compute the negative penalized likelihood +// compute the negative penalized likelihood ////////////////////////////////////////////////////////////////// template double neg_pen_likelihood_contbound(unsigned n, const double *b, double *grad, @@ -608,11 +613,11 @@ optimizationResult cfindMAX_W_BOUND(cBMDModel *M, Eigen::MatrixXd start, // flush(file); good_opt = true; // opt_iter++; - } catch (nlopt::roundoff_limited &exc) { + } catch (nlopt::roundoff_limited2 &exc) { good_opt = false; DEBUG_LOG(file, "opt_iter= " << opt_iter << ", error: roundoff_limited"); // cout << "Error Round off" << endl; - } catch (nlopt::forced_stop &exc) { + } catch (nlopt::forced_stop2 &exc) { good_opt = false; DEBUG_LOG(file, "opt_iter= " << opt_iter << ", error: roundoff_limited"); // cout << "Error Forced stop" << endl; @@ -659,11 +664,10 @@ optimizationResult cfindMAX_W_BOUND(cBMDModel *M, Eigen::MatrixXd start, return oR; } - /////////////////////////////////////////////////////////////////////////////// // Function profile_BMDNC(dBMDModel *M, -// bool isExtra, // true if -//it is +// bool isExtra, // true +// if it is // false if it is added double // BMR, double BMDchange, double totalChange, bool robust) Purpose: This // function iteratively changes the BMD by a BMDchange% diff --git a/src/include/dBMDstatmod.h b/src/include/dBMDstatmod.h index 5063c36..a892893 100644 --- a/src/include/dBMDstatmod.h +++ b/src/include/dBMDstatmod.h @@ -7,8 +7,10 @@ // Date : 12/21/2017 // Changes: // Date: 11/06/2018 - Added code in the profile function to stop -// the upper bound calculation when it -//is 5 times greater than the maximum administered dose. +// the upper bound calculation +//when it +// is 5 times greater than the maximum +// administered dose. // #pragma once @@ -23,14 +25,15 @@ #include #include #include -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include @@ -219,8 +222,8 @@ template struct inequalityInfo : public optimInfo { // It is currently unused. // void *data : Extra data needed. In this case, it is a // statModel object, -// which is used to compute the -//negative penalized likelihood +// which is used to +//compute the negative penalized likelihood ////////////////////////////////////////////////////////////////// template double DICHOTOMOUS_BMD_neg_pen_likelihood(unsigned n, const double *b, @@ -272,8 +275,8 @@ double DICHOTOMOUS_BMD_neg_pen_likelihood(unsigned n, const double *b, // It is currently unused. // void *data : Extra data needed. In this case, it is a // statModel object, -// which is used to compute the -//negative penalized likelihood +// which is used to +//compute the negative penalized likelihood ////////////////////////////////////////////////////////////////// template double equality_constraint(unsigned n, const double *b, double *grad, @@ -309,8 +312,10 @@ double inequality_constraint(unsigned n, const double *b, double *grad, //////////////////////////////////////////////////////////// // Function: inequality_constraint_general(unsigned n, -// const double -//*b, double *grad, void *data) +// const +// double *b, +// double *grad, +// void *data) // Purpose: Many BMR calculations require functions of parameters to be greater // than zero // this sets up this requirement (e.g. log(f(k)) where f(k) is a @@ -342,7 +347,7 @@ optimizationResult findMAX_W_EQUALITY(dBMDModel *M, Eigen::MatrixXd start, const bool isExtra, // true if it is false if it is added double BMD, double BMR) { - + // Rcpp::Rcout << "in findMAX W Eq dBMDstatmod" << std::endl; optimizationResult oR; std::vector vec_start(start.rows()); for (size_t i = 0; i < vec_start.size(); i++) { @@ -427,7 +432,7 @@ findMAX_W_EQUALITY(dBMDModel *M, Eigen::MatrixXd start, } double minf; - + nlopt::result result = nlopt::FAILURE; nlopt::opt opt(nlopt::LN_AUGLAG, M->nParms()); nlopt::opt local_opt(nlopt::LD_LBFGS, @@ -469,7 +474,6 @@ findMAX_W_EQUALITY(dBMDModel *M, Eigen::MatrixXd start, local_opt.set_initial_step(init); /////////////////////////////////////////////// - nlopt::result result = nlopt::FAILURE; opt.add_equality_constraint(equality_constraint, &info, 1e-4); opt.set_min_objective(neg_pen_likelihood, M); // ofstream file; @@ -510,6 +514,9 @@ findMAX_W_EQUALITY(dBMDModel *M, Eigen::MatrixXd start, // file << "\tline " << __LINE__ << ": invalid arg, opt_iter= " << // opt_iter << endl; flush(file); cerr << "Invalid Argument" << endl; good_opt = false; + } catch (const std::runtime_error &exc) { + // Rcpp::Rcout << "NLOPT result: " << result << std::endl; + throw exc; } catch (const std::exception &exc) { good_opt = false; // cerr << "Std Exeption" << endl; @@ -524,7 +531,6 @@ findMAX_W_EQUALITY(dBMDModel *M, Eigen::MatrixXd start, // file.close(); } - Eigen::Map d(x.data(), M->nParms(), 1); // return values oR.result = result; oR.functionV = minf; @@ -703,8 +709,11 @@ findMAX(dBMDModel *M, Eigen::MatrixXd start, /////////////////////////////////////////////////////////////////////////////// // Function fit_profileLogic(dBMDModel *M, -// bool isExtra, // true if it is -//false if it is added double BMR, double BMDchange, double totalChange) +// bool isExtra, // true if +//it is +// false if it is added double +// BMR, double BMDchange, double +// totalChange) // Purpose: This function fits a the profile likelihood using standard logic // Input : dBMDModel *M - Dichotomous BMD model // bool isExtra - true if it is extra risk @@ -712,12 +721,12 @@ findMAX(dBMDModel *M, Eigen::MatrixXd start, // double BMR - BMR [0,1] // double BMDchange - %Change in the BMD to increment each time // double totalChange - totalChange in penalized likelihood -//before one stops +// before one stops // Output: Returns a list of vectors. The first item is the fit information. // The second item is the parameter // optimization values. -// The third item is the -//list of parameter optimization values including the +// The third item +//is the list of parameter optimization values including the // fixed parameter value. // On an error there is only one item in // the list indicating the return code. @@ -806,10 +815,11 @@ fit_profileLogic(dBMDModel *M, Eigen::MatrixXd start, /////////////////////////////////////////////////////////////////////////////// // Function profile_BMDNC(dBMDModel *M, -// bool isExtra, // true if it is -//false if it is added double BMR, double BMDchange, double totalChange, bool -//robust) -// Purpose: This function iteratively changes the BMD by a BMDchange% +// bool isExtra, // true if +//it is +// false if it is added double +// BMR, double BMDchange, double totalChange, bool robust) Purpose: This +// function iteratively changes the BMD by a BMDchange% // until a total change in the penalized likelihood is found. // Input : dBMDModel *M - Dichotomous BMD model // bool isExtra - true if it is extra risk @@ -817,7 +827,7 @@ fit_profileLogic(dBMDModel *M, Eigen::MatrixXd start, // double BMR - BMR [0,1] // double BMDchange - %Change in the BMD to increment each time // double totalChange - totalChange in penalized likelihood -//before one stops +// before one stops // bool robust - true if we do a robust search of the // optimization space, false otherwise //////////////////////////////////////////////////////////////////////////////// diff --git a/src/include/log_likelihoods.h b/src/include/log_likelihoods.h index b9e7c25..129e071 100644 --- a/src/include/log_likelihoods.h +++ b/src/include/log_likelihoods.h @@ -20,14 +20,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/lognormalModels.h b/src/include/lognormalModels.h index 251c5a9..bf55b69 100644 --- a/src/include/lognormalModels.h +++ b/src/include/lognormalModels.h @@ -12,14 +12,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/lognormalTests.h b/src/include/lognormalTests.h index 0a994ce..b08d395 100644 --- a/src/include/lognormalTests.h +++ b/src/include/lognormalTests.h @@ -8,14 +8,15 @@ #include #include #include -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/lognormal_EXP_NC.h b/src/include/lognormal_EXP_NC.h index f21d1ee..a884993 100644 --- a/src/include/lognormal_EXP_NC.h +++ b/src/include/lognormal_EXP_NC.h @@ -4,14 +4,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/lognormal_EXP_aerts_NC.h b/src/include/lognormal_EXP_aerts_NC.h index f98d1f7..41be4b5 100644 --- a/src/include/lognormal_EXP_aerts_NC.h +++ b/src/include/lognormal_EXP_aerts_NC.h @@ -6,14 +6,15 @@ #include "lognormalModels.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/lognormal_GAMMA_aerts_NC.h b/src/include/lognormal_GAMMA_aerts_NC.h index 5241229..d41504a 100644 --- a/src/include/lognormal_GAMMA_aerts_NC.h +++ b/src/include/lognormal_GAMMA_aerts_NC.h @@ -6,14 +6,15 @@ #include "lognormalModels.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/lognormal_GAMMA_efsa_NC.h b/src/include/lognormal_GAMMA_efsa_NC.h index 2b16232..11f5212 100644 --- a/src/include/lognormal_GAMMA_efsa_NC.h +++ b/src/include/lognormal_GAMMA_efsa_NC.h @@ -6,14 +6,15 @@ #include "lognormalModels.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/lognormal_HILL_NC.h b/src/include/lognormal_HILL_NC.h index 64e19d9..938190b 100644 --- a/src/include/lognormal_HILL_NC.h +++ b/src/include/lognormal_HILL_NC.h @@ -8,14 +8,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/lognormal_HILL_aerts_NC.h b/src/include/lognormal_HILL_aerts_NC.h index d335f07..b2cf341 100644 --- a/src/include/lognormal_HILL_aerts_NC.h +++ b/src/include/lognormal_HILL_aerts_NC.h @@ -6,14 +6,15 @@ #include "lognormalModels.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/lognormal_IEXP_aerts_NC.h b/src/include/lognormal_IEXP_aerts_NC.h index 993d6de..c5643e0 100644 --- a/src/include/lognormal_IEXP_aerts_NC.h +++ b/src/include/lognormal_IEXP_aerts_NC.h @@ -6,14 +6,15 @@ #include "lognormalModels.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/lognormal_IGAMMA_aerts_NC.h b/src/include/lognormal_IGAMMA_aerts_NC.h index 1d9489b..4c4575b 100644 --- a/src/include/lognormal_IGAMMA_aerts_NC.h +++ b/src/include/lognormal_IGAMMA_aerts_NC.h @@ -6,14 +6,15 @@ #include "lognormalModels.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/lognormal_ILOGSKEW_aerts_NC.h b/src/include/lognormal_ILOGSKEW_aerts_NC.h index 9aed834..6a6ee0a 100644 --- a/src/include/lognormal_ILOGSKEW_aerts_NC.h +++ b/src/include/lognormal_ILOGSKEW_aerts_NC.h @@ -7,14 +7,15 @@ #include "owenst_asa076.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/lognormal_ILOMAX_aerts_NC.h b/src/include/lognormal_ILOMAX_aerts_NC.h index 4ac88d6..7402396 100644 --- a/src/include/lognormal_ILOMAX_aerts_NC.h +++ b/src/include/lognormal_ILOMAX_aerts_NC.h @@ -6,14 +6,15 @@ #include "lognormalModels.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/lognormal_LMS_NC.h b/src/include/lognormal_LMS_NC.h index 12b873e..6e0c9e0 100644 --- a/src/include/lognormal_LMS_NC.h +++ b/src/include/lognormal_LMS_NC.h @@ -6,14 +6,15 @@ #include "lognormalModels.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/lognormal_LOGISTIC_aerts_NC.h b/src/include/lognormal_LOGISTIC_aerts_NC.h index 41fd12f..bb5005f 100644 --- a/src/include/lognormal_LOGISTIC_aerts_NC.h +++ b/src/include/lognormal_LOGISTIC_aerts_NC.h @@ -6,14 +6,15 @@ #include "lognormalModels.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/lognormal_LOGNORMAL_aerts_NC.h b/src/include/lognormal_LOGNORMAL_aerts_NC.h index 9302ed7..9419803 100644 --- a/src/include/lognormal_LOGNORMAL_aerts_NC.h +++ b/src/include/lognormal_LOGNORMAL_aerts_NC.h @@ -6,14 +6,15 @@ #include "lognormalModels.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/lognormal_LOGSKEW_aerts_NC.h b/src/include/lognormal_LOGSKEW_aerts_NC.h index 765fc0d..15cc925 100644 --- a/src/include/lognormal_LOGSKEW_aerts_NC.h +++ b/src/include/lognormal_LOGSKEW_aerts_NC.h @@ -7,14 +7,15 @@ #include "owenst_asa076.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/lognormal_LOMAX_aerts_NC.h b/src/include/lognormal_LOMAX_aerts_NC.h index 90c5cfb..36eb189 100644 --- a/src/include/lognormal_LOMAX_aerts_NC.h +++ b/src/include/lognormal_LOMAX_aerts_NC.h @@ -6,14 +6,15 @@ #include "lognormalModels.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/lognormal_POLYNOMIAL_NC.h b/src/include/lognormal_POLYNOMIAL_NC.h index 9f289e1..4849d5f 100644 --- a/src/include/lognormal_POLYNOMIAL_NC.h +++ b/src/include/lognormal_POLYNOMIAL_NC.h @@ -4,14 +4,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/lognormal_POWER_NC.h b/src/include/lognormal_POWER_NC.h index ba1c54f..57f3c0b 100644 --- a/src/include/lognormal_POWER_NC.h +++ b/src/include/lognormal_POWER_NC.h @@ -6,14 +6,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/lognormal_PROBIT_aerts_NC.h b/src/include/lognormal_PROBIT_aerts_NC.h index 3b795ec..1124fa6 100644 --- a/src/include/lognormal_PROBIT_aerts_NC.h +++ b/src/include/lognormal_PROBIT_aerts_NC.h @@ -6,14 +6,15 @@ #include "lognormalModels.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/lognormal_likelihoods.h b/src/include/lognormal_likelihoods.h index 4111421..438325b 100644 --- a/src/include/lognormal_likelihoods.h +++ b/src/include/lognormal_likelihoods.h @@ -5,14 +5,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/mcmc_analysis.h b/src/include/mcmc_analysis.h index f5cda3c..6606b70 100644 --- a/src/include/mcmc_analysis.h +++ b/src/include/mcmc_analysis.h @@ -38,14 +38,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/mcmc_struct.h b/src/include/mcmc_struct.h index f276438..2e0d046 100644 --- a/src/include/mcmc_struct.h +++ b/src/include/mcmc_struct.h @@ -29,14 +29,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/normalModels.h b/src/include/normalModels.h index ba6412b..abcda06 100644 --- a/src/include/normalModels.h +++ b/src/include/normalModels.h @@ -15,14 +15,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/normalTests.h b/src/include/normalTests.h index 6ad6ac9..a60c86c 100644 --- a/src/include/normalTests.h +++ b/src/include/normalTests.h @@ -7,14 +7,15 @@ #include #include #include -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/normal_EXP_NC.h b/src/include/normal_EXP_NC.h index 62a7103..496978f 100644 --- a/src/include/normal_EXP_NC.h +++ b/src/include/normal_EXP_NC.h @@ -8,14 +8,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/normal_EXP_aerts_NC.h b/src/include/normal_EXP_aerts_NC.h index 28e122f..6f408e1 100644 --- a/src/include/normal_EXP_aerts_NC.h +++ b/src/include/normal_EXP_aerts_NC.h @@ -5,14 +5,15 @@ #include "normalModels.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/normal_FUNL_NC.h b/src/include/normal_FUNL_NC.h index 9f00861..e670a14 100644 --- a/src/include/normal_FUNL_NC.h +++ b/src/include/normal_FUNL_NC.h @@ -5,14 +5,15 @@ #include "normalModels.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/normal_GAMMA_aerts_NC.h b/src/include/normal_GAMMA_aerts_NC.h index dad9a35..ac0a1c3 100644 --- a/src/include/normal_GAMMA_aerts_NC.h +++ b/src/include/normal_GAMMA_aerts_NC.h @@ -5,14 +5,15 @@ #include "normalModels.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/normal_GAMMA_efsa_NC.h b/src/include/normal_GAMMA_efsa_NC.h index fd4f269..ee6526c 100644 --- a/src/include/normal_GAMMA_efsa_NC.h +++ b/src/include/normal_GAMMA_efsa_NC.h @@ -5,14 +5,15 @@ #include "normalModels.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/normal_HILL_NC.h b/src/include/normal_HILL_NC.h index d814270..b32ddba 100644 --- a/src/include/normal_HILL_NC.h +++ b/src/include/normal_HILL_NC.h @@ -5,14 +5,15 @@ #include "normalModels.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/normal_HILL_aerts_NC.h b/src/include/normal_HILL_aerts_NC.h index 009f9c8..cc17251 100644 --- a/src/include/normal_HILL_aerts_NC.h +++ b/src/include/normal_HILL_aerts_NC.h @@ -5,14 +5,15 @@ #include "normalModels.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/normal_IEXP_aerts_NC.h b/src/include/normal_IEXP_aerts_NC.h index 2bf00f7..e0b5b7e 100644 --- a/src/include/normal_IEXP_aerts_NC.h +++ b/src/include/normal_IEXP_aerts_NC.h @@ -5,14 +5,15 @@ #include "normalModels.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/normal_IGAMMA_aerts_NC.h b/src/include/normal_IGAMMA_aerts_NC.h index 6fdbe36..c1fee95 100644 --- a/src/include/normal_IGAMMA_aerts_NC.h +++ b/src/include/normal_IGAMMA_aerts_NC.h @@ -5,14 +5,15 @@ #include "normalModels.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/normal_ILOGSKEW_aerts_NC.h b/src/include/normal_ILOGSKEW_aerts_NC.h index 05b69ea..2ecfd83 100644 --- a/src/include/normal_ILOGSKEW_aerts_NC.h +++ b/src/include/normal_ILOGSKEW_aerts_NC.h @@ -6,14 +6,15 @@ #include "owenst_asa076.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/normal_ILOMAX_aerts_NC.h b/src/include/normal_ILOMAX_aerts_NC.h index a9fabcf..c045e94 100644 --- a/src/include/normal_ILOMAX_aerts_NC.h +++ b/src/include/normal_ILOMAX_aerts_NC.h @@ -5,14 +5,15 @@ #include "normalModels.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/normal_LMS_NC.h b/src/include/normal_LMS_NC.h index 5267fef..76b2f44 100644 --- a/src/include/normal_LMS_NC.h +++ b/src/include/normal_LMS_NC.h @@ -5,14 +5,15 @@ #include "normalModels.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/normal_LOGISTIC_aerts_NC.h b/src/include/normal_LOGISTIC_aerts_NC.h index afbbb04..8d702e7 100644 --- a/src/include/normal_LOGISTIC_aerts_NC.h +++ b/src/include/normal_LOGISTIC_aerts_NC.h @@ -5,14 +5,15 @@ #include "normalModels.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/normal_LOGNORMAL_aerts_NC.h b/src/include/normal_LOGNORMAL_aerts_NC.h index 9136a2c..d7133df 100644 --- a/src/include/normal_LOGNORMAL_aerts_NC.h +++ b/src/include/normal_LOGNORMAL_aerts_NC.h @@ -5,14 +5,15 @@ #include "normalModels.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/normal_LOGSKEW_aerts_NC.h b/src/include/normal_LOGSKEW_aerts_NC.h index 98336a3..7f2e9f1 100644 --- a/src/include/normal_LOGSKEW_aerts_NC.h +++ b/src/include/normal_LOGSKEW_aerts_NC.h @@ -7,14 +7,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/normal_LOMAX_aerts_NC.h b/src/include/normal_LOMAX_aerts_NC.h index c66f25c..b896d6d 100644 --- a/src/include/normal_LOMAX_aerts_NC.h +++ b/src/include/normal_LOMAX_aerts_NC.h @@ -5,14 +5,15 @@ #include "normalModels.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/normal_POLYNOMIAL_NC.h b/src/include/normal_POLYNOMIAL_NC.h index 88d7974..09723b7 100644 --- a/src/include/normal_POLYNOMIAL_NC.h +++ b/src/include/normal_POLYNOMIAL_NC.h @@ -29,14 +29,15 @@ #include "normalModels.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/normal_POWER_NC.h b/src/include/normal_POWER_NC.h index 05c13bd..4ab7a0c 100644 --- a/src/include/normal_POWER_NC.h +++ b/src/include/normal_POWER_NC.h @@ -5,14 +5,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/normal_PROBIT_aerts_NC.h b/src/include/normal_PROBIT_aerts_NC.h index 1c1fd63..c123e1e 100644 --- a/src/include/normal_PROBIT_aerts_NC.h +++ b/src/include/normal_PROBIT_aerts_NC.h @@ -5,14 +5,15 @@ #include "normalModels.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/normal_likelihoods.h b/src/include/normal_likelihoods.h index 7c56ff1..9c224ac 100644 --- a/src/include/normal_likelihoods.h +++ b/src/include/normal_likelihoods.h @@ -6,14 +6,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/normal_lomax_NC.h b/src/include/normal_lomax_NC.h index b178a83..750ad3f 100644 --- a/src/include/normal_lomax_NC.h +++ b/src/include/normal_lomax_NC.h @@ -5,14 +5,15 @@ #include "normalModels.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/probit_hill_NC.h b/src/include/probit_hill_NC.h index d0ba94f..69136f8 100644 --- a/src/include/probit_hill_NC.h +++ b/src/include/probit_hill_NC.h @@ -5,14 +5,15 @@ #include "normalModels.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/seeder.h b/src/include/seeder.h index d05e845..595cff5 100644 --- a/src/include/seeder.h +++ b/src/include/seeder.h @@ -3,38 +3,44 @@ #ifndef SEEDER #define SEEDER +// Check for MinGW or MSVC (both support __declspec(thread)) +#if defined(_MSC_VER) || defined(__MINGW32__) +#define THREAD_LOCAL __declspec(thread) + +// Check for GCC or Clang on non-Windows systems +#elif defined(__GNUC__) || defined(__clang__) +#define THREAD_LOCAL thread_local + +#else +#define THREAD_LOCAL // Fallback for unsupported compilers +#endif #include #include #include #include #include +#include +#include class Seeder { private: - // gsl_rng *r = nullptr; - static Seeder *instance; - static std::mutex instanceMutex; + THREAD_LOCAL static gsl_rng *rng; + const gsl_rng_type *T = gsl_rng_mt19937; + int currentSeed = 0; - static thread_local gsl_rng *r; - // std::mutex seedMutex; Seeder() {} - -public: - static thread_local int currentSeed; - // int currentSeed = -1; Seeder(Seeder const &) = delete; Seeder &operator=(Seeder const &) = delete; + +public: static Seeder *getInstance() { - std::lock_guard lock(instanceMutex); - if (!instance) { - instance = new Seeder(); - } - return instance; + static Seeder instance; + return &instance; } ~Seeder() { - if (r) { - gsl_rng_free(r); + if (rng) { + gsl_rng_free(rng); } } @@ -42,38 +48,37 @@ class Seeder { if (seed < 0) { Rcpp::stop("Error: Seed must be a positive integer."); } - // std::lock_guard lock(seedMutex); - if (r) { - gsl_rng_free(r); + if (!rng) { + rng = gsl_rng_alloc(T); } - gsl_rng_env_setup(); - r = gsl_rng_alloc(gsl_rng_mt19937); - gsl_rng_set(r, seed); - // if (currentSeed != seed) { - // Rcpp::Rcout << "Updated GSL seed: " << currentSeed << std::endl; - // } + gsl_rng_set(rng, seed); + // Rcpp::Rcout << "GSL seed set to: " << seed << std::endl; + nlopt_srand(seed); currentSeed = seed; } double get_uniform() { - // std::lock_guard lock(seedMutex); - return gsl_rng_uniform(r); + if (!rng) { + Rcpp::warning("Error: RNG not initialized."); + setSeed(currentSeed); + } + return gsl_rng_uniform(rng); } double get_gaussian_ziggurat() { - // std::lock_guard lock(seedMutex); - return gsl_ran_gaussian_ziggurat(r, 1.0); + if (!rng) { + Rcpp::warning("Error: RNG not initialized."); + setSeed(currentSeed); + } + return gsl_ran_gaussian_ziggurat(rng, 1.0); } double get_ran_flat() { - // std::lock_guard lock(seedMutex); - return gsl_ran_flat(r, -1, 1); - } - - gsl_rng *get_gsl_rng() { - // std::lock_guard lock(seedMutex); - return r; + if (!rng) { + Rcpp::warning("Error: RNG not initialized."); + setSeed(currentSeed); + } + return gsl_ran_flat(rng, -1, 1); } }; - #endif \ No newline at end of file diff --git a/src/include/skewnorm_optim.h b/src/include/skewnorm_optim.h index fd48055..28be49b 100644 --- a/src/include/skewnorm_optim.h +++ b/src/include/skewnorm_optim.h @@ -5,14 +5,15 @@ #include "owenst_asa076.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include diff --git a/src/include/statisticalmodel.h b/src/include/statisticalmodel.h index 2bf04bb..0763b7b 100644 --- a/src/include/statisticalmodel.h +++ b/src/include/statisticalmodel.h @@ -14,14 +14,15 @@ #include #ifdef R_COMPILATION -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#pragma GCC diagnostic pop -#else -#include -#endif +// #endif #include #else #include diff --git a/src/include/statmod.h b/src/include/statmod.h index 4f5fa84..065ecd4 100644 --- a/src/include/statmod.h +++ b/src/include/statmod.h @@ -20,14 +20,15 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" -#include -#pragma GCC diagnostic pop -#else +// necessary things to run in R +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#endif +// #endif #include #else #include @@ -40,9 +41,8 @@ #include "seeder.h" #include #include -#include - #include +#include #pragma once #ifndef statmodH #define statmodH @@ -385,7 +385,7 @@ Eigen::MatrixXd statModel::varMatrix(Eigen::MatrixXd theta) { // void *data : Extra data needed. In this case, it is a // statModel object, // which is used to -//compute the negative penalized likelihood +// compute the negative penalized likelihood ////////////////////////////////////////////////////////////////// template double neg_pen_likelihood(unsigned n, const double *b, double *grad, @@ -468,8 +468,8 @@ std::vector startValue_F(statModel *M, Eigen::MatrixXd startV, for (int i = 0; i < NI; i++) { // generate new value to be within the specified bounds for (int j = 0; j < M->nParms(); j++) { - test(j, 0) = - startV(j, 0) + seeder->get_ran_flat(); // random number in the bounds + // random number in the bounds + test(j, 0) = startV(j, 0) + seeder->get_ran_flat(); if (test(j, 0) > ub[j]) { test(j, 0) = ub[j]; @@ -480,8 +480,7 @@ std::vector startValue_F(statModel *M, Eigen::MatrixXd startV, } test_l = M->negPenLike(test); bool break_loop = false; - // put the new value in sorted order based upon likelihood - // score + // put the new value in sorted order based upon likelihood score for (int j = 0; !break_loop && j < NI; j++) { if (test_l < llist[j]) { // this is the first occurance std::vector::iterator it_l = llist.begin(); @@ -499,8 +498,8 @@ std::vector startValue_F(statModel *M, Eigen::MatrixXd startV, for (int i = population.size() - 1; i > 1; --i) { if (population[i].size() == 0) { population.erase(population.begin() + i); - i = population.size(); // removed the value - // start over + // remove the value and start over + i = population.size(); } } @@ -524,7 +523,6 @@ std::vector startValue_F(statModel *M, Eigen::MatrixXd startV, population.erase(it_pop, population.end()); int ngenerations; - ; int ntourny; int tourny_size; if (isBig) { @@ -538,16 +536,11 @@ std::vector startValue_F(statModel *M, Eigen::MatrixXd startV, } for (int xx = 0; xx < ngenerations; xx++) { - - std::vector tourny_winners; - std::vector tourny_vals; - for (int ay = 0; ay < ntourny; ay++) { std::vector cur_tourny_nll( tourny_size, std::numeric_limits::infinity()); std::vector cur_tourny_parms(tourny_size, population[0]); - // make sure there are no entries in the current tourny. // select the elements from the population for (int z = 0; z < tourny_size; z++) { @@ -555,10 +548,10 @@ std::vector startValue_F(statModel *M, Eigen::MatrixXd startV, // find the best individual out of tourny_size this individual is: // randomly mutatied and differentially evolved based upon the given // individuals in the tourny. - int sel = (int)(population.size() * - seeder->get_uniform()); // choose which element in the - // population - cur_tourny_nll[z] = it_l[sel]; + + // choose which element in the population + int sel = (int)(population.size() * seeder->get_uniform()); + cur_tourny_nll[z] = llist[sel]; cur_tourny_parms[z] = population[sel]; } @@ -575,14 +568,11 @@ std::vector startValue_F(statModel *M, Eigen::MatrixXd startV, // the best is the zero element // randomly select another element to find the diference bool correctBounds = true; - int idx = (int)(cur_tourny_parms.size() - 1) * seeder->get_uniform() + 1; Eigen::MatrixXd temp_delta = best_parm - cur_tourny_parms[idx]; - // Create a new child as a mix between the best and some other - // value. + // Create a new child as a mix between the best and some other value. Eigen::MatrixXd child = best_parm + 0.8 * temp_delta * (2 * seeder->get_uniform() - 1); - correctBounds = true; for (int iii = 0; iii < M->nParms(); iii++) { // perterb the individual values in the child @@ -645,16 +635,13 @@ std::vector startValue_F(statModel *M, Eigen::MatrixXd startV, if (t2 < t1) { // the random search was no better than the first value. test = startV; } - bool found_nans = false; + for (int i = 0; i < M->nParms(); i++) { - if (isnan(test(i, 0))) { - found_nans = true; + if (std::isnan(test(i, 0))) { + // something really messed up revert to initial starting values + test = startV; } } - if (found_nans) { // something really messed up revert to initial - // starting values - test = startV; - } for (int i = 0; i < M->nParms(); i++) x[i] = test(i, 0); @@ -678,26 +665,22 @@ template optimizationResult findMAP(statModel *M, Eigen::MatrixXd startV, unsigned int flags = OPTIM_USE_GENETIC | OPTIM_USE_SUBPLX) { + // Rcpp::Rcout << "findMAP in statmod called" << std::endl; + // Rcpp::Rcout << "startV: " << startV << std::endl; optimizationResult oR; - Eigen::MatrixXd temp_data = M->parmLB(); - std::vector lb(M->nParms()); - - for (int i = 0; i < M->nParms(); i++) - lb[i] = temp_data(i, 0); - temp_data = M->parmUB(); - - std::vector ub(M->nParms()); - - for (int i = 0; i < M->nParms(); i++) - ub[i] = temp_data(i, 0); + // Eigen::MatrixXd temp_data = M->parmLB(); + Eigen::MatrixXd lbMat = M->parmLB(); + Eigen::MatrixXd ubMat = M->parmUB(); + std::vector lb(lbMat.data(), lbMat.data() + M->nParms()); + std::vector ub(ubMat.data(), ubMat.data() + M->nParms()); std::vector x(startV.rows()); if (OPTIM_USE_GENETIC & flags) { + // Rcpp::Rcout << "OPTIM USE Genetic" << std::endl; bool op_size = (OPTIM_USE_BIG_GENETIC & flags); try { - x = startValue_F(M, startV, lb, ub, op_size); - - } catch (...) { + } catch (const std::exception &e) { + Rcpp::stop("Exception in startValue_F: %s", e.what()); } } else { for (unsigned int i = 0; i < x.size(); i++) { @@ -705,10 +688,9 @@ optimizationResult findMAP(statModel *M, Eigen::MatrixXd startV, } } - // int yy = x.size(); - + // Rcpp::Rcout << "Recalculated startV: " << startV << std::endl; for (int i = 0; i < M->nParms(); i++) { - if (!isnormal(x[i])) { + if (!std::isfinite(x[i])) { x[i] = 0; } } @@ -721,8 +703,7 @@ optimizationResult findMAP(statModel *M, Eigen::MatrixXd startV, // set up a bunch of differnt plausible optimizers in case of failure // the first one is mainly to get a better idea of a starting value // though it often converges to the optimum. - - nlopt::opt opt1(nlopt::LN_SBPLX, M->nParms()); + nlopt::opt opt1(nlopt::LN_SBPLX, M->nParms()); // nlopt::LN_NELDERMEAD nlopt::opt opt3(nlopt::LD_LBFGS, M->nParms()); nlopt::opt opt2(nlopt::LN_BOBYQA, M->nParms()); @@ -739,13 +720,8 @@ optimizationResult findMAP(statModel *M, Eigen::MatrixXd startV, // Ensure that starting values are within bounds for (int i = 0; i < M->nParms(); i++) { - double temp = x[i]; - if (temp < lb[i]) - temp = lb[i]; - else if (temp > ub[i]) - temp = ub[i]; - x[i] = temp; - } // end for + x[i] = std::min(std::max(x[i], lb[i]), ub[i]); + } switch (opt_iter) { case 0: @@ -795,32 +771,40 @@ optimizationResult findMAP(statModel *M, Eigen::MatrixXd startV, opt_iter = 10; // if it made it here it will break the loop } - } // try - catch (const std::invalid_argument &exc) { + catch (const std::invalid_argument &exce) { DEBUG_LOG(file, "opt_iter= " << opt_iter - << ", error: invalid arg: " << exc.what()); + << ", error: invalid arg: " << exce.what()); + // Rcpp::Rcout << "invalid_argument nlopt: " << exce.what() << + // std::endl; } // catch - catch (nlopt::roundoff_limited &exec) { + catch (nlopt::roundoff_limited2 &exce) { DEBUG_LOG(file, "opt_iter= " << opt_iter << ", error: roundoff_limited"); + // Rcpp::Rcout << "Roundoff_limited nlopt: " << exce.what() << + // std::endl; // cout << "bogo" << endl; } // catch - catch (nlopt::forced_stop &exec) { + catch (nlopt::forced_stop2 &exce) { DEBUG_LOG(file, "opt_iter= " << opt_iter << ", error: forced_stop"); + // Rcpp::Rcout << "forced stop nlopt: " << exce.what() << std::endl; // cout << "there" << endl; } // catch - catch (const std::exception &exc) { + catch (const std::runtime_error &exce) { + DEBUG_LOG(file, + "opt_iter= " << opt_iter << ", general error: " << exce.what()); + Rcpp::Rcout << "runtime_error nlopt: " << result << std::endl; + // throw exce; + } catch (const std::exception &exce) { DEBUG_LOG(file, - "opt_iter= " << opt_iter << ", general error: " << exc.what()); + "opt_iter= " << opt_iter << ", general error: " << exce.what()); + // throw exce; + // Rcpp::Rcout << "catch all nlopt: " << exce.what() << std::endl; // cout << "???" << endl; - } catch (...) { - } // catch DEBUG_CLOSE_LOG(file); } // for opt_iter - Eigen::Map d(x.data(), M->nParms(), 1); oR.result = result; oR.functionV = minf; @@ -830,10 +814,10 @@ optimizationResult findMAP(statModel *M, Eigen::MatrixXd startV, M->setEST(d); if (result < 0) { - // cerr << __FUNCTION__ << " at line: " << __LINE__ << " result= " << result + // cerr << __FUNCTION__ << " at line: " << __LINE__ << " result= " << + // result // << endl; } - return oR; } diff --git a/src/main_entry.cpp b/src/main_entry.cpp index 1399d17..6616bfe 100644 --- a/src/main_entry.cpp +++ b/src/main_entry.cpp @@ -26,24 +26,24 @@ SOFTWARE. * */ -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop + +#ifdef R_COMPILATION #include -#pragma GCC diagnostic pop +#include #else -#include +#include #endif -#include - #include #include #include -#include "bmds_entry.h" - +#include #include - #include #include #include @@ -67,6 +67,7 @@ SOFTWARE. #include "dichotomous_entry_code.h" #include "list_r_conversion.h" #include "owenst_asa076.h" +#include "seeder.h" using namespace Rcpp; @@ -94,7 +95,10 @@ double owenst_fn(double x, double fx) { return tfn(x, fx); } // [[Rcpp::export(".run_single_dichotomous")]] List run_single_dichotomous(NumericVector model, Eigen::MatrixXd data, Eigen::MatrixXd pr, NumericVector options1, - IntegerVector options2) { + IntegerVector options2, int seed) { + Seeder *seeder = Seeder::getInstance(); + seeder->setSeed(seed); + // Rcpp::Rcout << "In single dichotomous and set seed" << std::endl; dichotomous_analysis Anal; Anal.BMD_type = (options1[0] == 1) ? eExtraRisk : eAddedRisk; Anal.BMR = options1[0]; @@ -124,6 +128,7 @@ List run_single_dichotomous(NumericVector model, Eigen::MatrixXd data, cp_prior(pr, Anal.prior); + // Rcpp::Rcout << "Done cp prior" << std::endl; dichotomous_model_result res; res.parms = new double[pr.rows()]; res.cov = new double[pr.rows() * pr.rows()]; @@ -132,6 +137,14 @@ List run_single_dichotomous(NumericVector model, Eigen::MatrixXd data, estimate_sm_laplace(&Anal, &res); +// // Debugging output to check for NaNs +// for (int i = 0; i < res.dist_numE * 2; ++i) { +// if (std::isnan(res.bmd_dist[i])) { +// // Rcpp::Rcout << "NaN detected in bmd_dist at index " << i << std::endl; +// } +// } + + // Rcpp::Rcout << "Estimated sm laplace" << std::endl; dichotomous_PGOF_data GOFdata; GOFdata.n = Anal.n; GOFdata.Y = Anal.Y; @@ -192,8 +205,11 @@ List run_single_dichotomous(NumericVector model, Eigen::MatrixXd data, // [[Rcpp::export(".run_continuous_single")]] List run_continuous_single(IntegerVector model, Eigen::MatrixXd Y, Eigen::MatrixXd X, Eigen::MatrixXd prior, - NumericVector options, IntegerVector dist_type) { - + NumericVector options, IntegerVector dist_type, + int seed) { + Seeder *seeder = Seeder::getInstance(); + seeder->setSeed(seed); + // Rcpp::Rcout << "In run_continuous_single and set seed" << std::endl; bool is_increasing = (bool)options[4]; // double alpha = (double)options[3]; double tail_p = (double)options[2]; @@ -231,6 +247,7 @@ List run_continuous_single(IntegerVector model, Eigen::MatrixXd Y, // Check on the polynomial stuff // + // Rcpp::Rcout << "Prior calculated" << std::endl; if (anal.model == cont_model::polynomial) { // figure out the degree if (anal.disttype == distribution::normal) { @@ -281,6 +298,7 @@ List run_continuous_single(IntegerVector model, Eigen::MatrixXd Y, // Check on the polynomial stuff // + // Rcpp::Rcout << "Prior2 calculated" << std::endl; if (anal2.model == cont_model::polynomial) { // figure out the degree if (anal2.disttype == distribution::normal) { @@ -303,40 +321,48 @@ List run_continuous_single(IntegerVector model, Eigen::MatrixXd Y, } } - //////////////////////////////////// - + // Rcpp::Rcout << "Getting cont result" << std::endl; //////////////////////////////////// continuous_model_result *result = new_continuous_model_result(anal.model, anal.parms, 200); // have 200 equally spaced values //////////////////////////////////// continuous_deviance aod1; -#pragma omp parallel - { -#pragma omp sections - { -#pragma omp section - { estimate_sm_laplace(&anal, result, isFast); } - -#pragma omp section - { - - if (anal.disttype == distribution::log_normal) { - - estimate_log_normal_aod(&anal2, &aod1); - - } else { - estimate_normal_aod(&anal2, &aod1); - } - } - } +// #ifndef NO_OMP +// #pragma omp parallel sections +// { +// #pragma omp section +// { estimate_sm_laplace(&anal, result, isFast); } + +// #pragma omp section +// { +// if (anal2.disttype == distribution::log_normal) { +// estimate_log_normal_aod(&anal2, &aod1); + +// } else { +// estimate_normal_aod(&anal2, &aod1); +// } +// } +// } +// #else + // Rcpp::Rcout << "Result bmd result: " << std::endl; + + estimate_sm_laplace(&anal, result, isFast); + // Rcpp::Rcout << "Estimated sm laplace" << std::endl; + + if (anal2.disttype == distribution::log_normal) { + estimate_log_normal_aod(&anal2, &aod1); + } else { + estimate_normal_aod(&anal2, &aod1); } +// #endif continuous_expected_result exp_r; exp_r.expected = new double[anal.n]; exp_r.n = anal.n; exp_r.sd = new double[anal.n]; continuous_expectation(&anal, result, &exp_r); + // Rcpp::Rcout << "Continuous expectation calculated" << std::endl; NumericMatrix AOD(5, 2); AOD(0, 0) = aod1.A1; AOD(0, 1) = aod1.N1; diff --git a/src/main_entry_ma.cpp b/src/main_entry_ma.cpp index 3acfaae..8852726 100644 --- a/src/main_entry_ma.cpp +++ b/src/main_entry_ma.cpp @@ -24,15 +24,17 @@ * * */ -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +#ifdef R_COMPILATION #include -#pragma GCC diagnostic pop +#include #else -#include +#include #endif -#include #include #include @@ -43,6 +45,7 @@ #include "bmds_entry.h" #include "continuous_model_functions.h" #include +#include "seeder.h" using namespace Rcpp; using namespace std; @@ -314,8 +317,10 @@ List convert_continuous_maresults_to_list(continuousMA_result *result) { // [[Rcpp::export(".run_continuous_ma_laplace")]] List run_continuous_ma_laplace(List model_priors, NumericVector model_type, NumericVector dist_type, Eigen::MatrixXd Y, - Eigen::MatrixXd X, NumericVector options) { - + Eigen::MatrixXd X, NumericVector options, int seed) { + Seeder *seeder = Seeder::getInstance(); + seeder->setSeed(seed); + // Rcpp::Rcout << "In run_continuous_ma_laplace and set seed" << std::endl; bool is_increasing = (bool)options[4]; // double alpha = (double)options[3]; double tail_p = (double)options[2]; @@ -430,7 +435,10 @@ List convert_mcmc_results(const ma_MCMCfits *a) { // [[Rcpp::export(".run_continuous_ma_mcmc")]] List run_continuous_ma_mcmc(List model_priors, NumericVector model_type, NumericVector dist_type, Eigen::MatrixXd Y, - Eigen::MatrixXd X, NumericVector options) { + Eigen::MatrixXd X, NumericVector options, int seed) { + Seeder *seeder = Seeder::getInstance(); + seeder->setSeed(seed); + // Rcpp::Rcout << "In run_continuous_ma_mcmc and set seed" << std::endl; unsigned int burnin = (unsigned int)options[6]; bool is_increasing = (bool)options[4]; // double alpha = (double)options[3]; @@ -503,7 +511,6 @@ List run_continuous_ma_mcmc(List model_priors, NumericVector model_type, anal.sd[i] = Y(i, 2); } } - estimate_ma_MCMC(&ma_anal, &anal, ma_result, &model_mcmc_info); List t1 = convert_mcmc_results(&model_mcmc_info); @@ -534,8 +541,10 @@ List run_continuous_ma_mcmc(List model_priors, NumericVector model_type, // [[Rcpp::export(.run_ma_dichotomous)]] List run_ma_dichotomous(Eigen::MatrixXd data, List priors, NumericVector models, NumericVector model_p, bool is_MCMC, - NumericVector options1, IntegerVector options2) { - + NumericVector options1, IntegerVector options2, int seed) { + Seeder *seeder = Seeder::getInstance(); + seeder->setSeed(seed); + // Rcpp::Rcout << "In run_ma_dichotomous and set seed" << std::endl; dichotomous_analysis Anal; Anal.BMD_type = (options2[2] == 1) ? eExtraRisk : eAddedRisk; Anal.BMR = options1[0]; diff --git a/src/main_entry_mcmc.cpp b/src/main_entry_mcmc.cpp index 6908e3b..5f4418c 100644 --- a/src/main_entry_mcmc.cpp +++ b/src/main_entry_mcmc.cpp @@ -56,19 +56,20 @@ #include "lognormal_HILL_NC.h" #include "lognormal_POLYNOMIAL_NC.h" #include "lognormal_POWER_NC.h" +#include "seeder.h" #include "continuous_clean_aux.h" #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#pragma GCC diagnostic pop -#else -#include -#endif +// #endif #include #else #include @@ -138,7 +139,10 @@ Eigen::MatrixXd fix_sample(Eigen::MatrixXd A, dich_model mtype, double max) { // [[Rcpp::export(".run_dichotomous_single_mcmc")]] List run_dichotomous_single_mcmc(NumericVector model, Eigen::MatrixXd Y, Eigen::MatrixXd D, Eigen::MatrixXd pr, - NumericVector options) { + NumericVector options, int seed) { + Seeder *seeder = Seeder::getInstance(); + seeder->setSeed(seed); + // Rcpp::Rcout << "In Run dichotomous single mcmc and set seed" << std::endl; dichotomous_analysis mcmcAnal; mcmcAnal.BMD_type = eExtraRisk; // (options[0]==1)?eExtraRisk:eAddedRisk; mcmcAnal.BMR = options[0]; @@ -217,7 +221,11 @@ List run_dichotomous_single_mcmc(NumericVector model, Eigen::MatrixXd Y, List run_continuous_single_mcmc(NumericVector model, Eigen::MatrixXd Y, Eigen::MatrixXd D, Eigen::MatrixXd priors, NumericVector options, bool is_logNormal, - bool suff_stat) { + bool suff_stat, int seed) { + + Seeder *seeder = Seeder::getInstance(); + seeder->setSeed(seed); + // Rcpp::Rcout << "In Run continuous single mcmc and set seed" << std::endl; unsigned int samples = (unsigned int)options[7]; unsigned int burnin = (unsigned int)options[6]; double tail_p = (double)options[2]; @@ -295,15 +303,15 @@ List run_continuous_single_mcmc(NumericVector model, Eigen::MatrixXd Y, cp_prior(priors, mcmcAnal->prior); //////////////////////////////////// - continuous_model_result *res = new_continuous_model_result(mcmcAnal->model, mcmcAnal->parms, 200); estimate_sm_mcmc(mcmcAnal, res, output); double v_c, v_nc, v_pow; - estimate_normal_variance(mcmcAnal, &v_c, &v_nc, &v_pow); + estimate_normal_variance(mcmcAnal, &v_c, &v_nc, &v_pow); + NumericVector v_inform(3); v_inform[0] = v_c; v_inform[1] = v_nc; diff --git a/src/main_polyk.cpp b/src/main_polyk.cpp index 8d3622f..1f17ccb 100644 --- a/src/main_polyk.cpp +++ b/src/main_polyk.cpp @@ -1,13 +1,13 @@ #ifdef R_COMPILATION // necessary things to run in R -#ifdef ToxicR_DEBUG -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wignored-attributes" +// #ifdef ToxicR_DEBUG +// #pragma GCC diagnostic push +// #pragma GCC diagnostic ignored "-Wignored-attributes" +// #include +// #pragma GCC diagnostic pop +// #else #include -#pragma GCC diagnostic pop -#else -#include -#endif +// #endif #include #else #include diff --git a/src/main_seeder.cpp b/src/main_seeder.cpp index 3dcebc6..582a0d2 100644 --- a/src/main_seeder.cpp +++ b/src/main_seeder.cpp @@ -1,10 +1,6 @@ #include "seeder.h" #include -Seeder *Seeder::instance = nullptr; -std::mutex Seeder::instanceMutex; -thread_local gsl_rng *Seeder::r = nullptr; -thread_local int Seeder::currentSeed = -1; // [[Rcpp::depends(RcppGSL)]] // function: setseedGSL // purpose: takes an integer value and sets the GSL seed @@ -13,6 +9,5 @@ thread_local int Seeder::currentSeed = -1; void setseedGSL(int s) { Seeder *seeder = Seeder::getInstance(); seeder->setSeed(s); - nlopt_srand(s); return; } \ No newline at end of file diff --git a/src/nlopt-src.tar.gz b/src/nlopt-src.tar.gz index 6d7b37a3fad91c770eb2d57974695dbd242d38cb..4d5708759f1c6cac4c7af575c70083d10d574040 100644 GIT binary patch literal 6865259 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