diff --git a/DESCRIPTION b/DESCRIPTION index 1b43b7ab..49e833de 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -2,71 +2,65 @@ Package: PLNmodels Title: Poisson Lognormal Models Version: 1.2.1 Authors@R: c( - person("Julien", "Chiquet", , "julien.chiquet@inrae.fr", role = c("aut", "cre"), - comment = c(ORCID = "0000-0002-3629-3429")), - person("Mahendra", "Mariadassou", , "mahendra.mariadassou@inrae.fr", role = "aut", - comment = c(ORCID = "0000-0003-2986-354X")), - person("Stéphane", "Robin", , "stephane.robin@inrae.fr", role = "aut"), - person("François", "Gindraud", , "francois.gindraud@gmail.com", role = "aut"), - person("Julie", "Aubert", , "julie.aubert@inrae.fr", role = "ctb"), - person("Bastien", "Batardière", , "bastien.batardiere@inrae.fr", role = "ctb"), - person("Giovanni", "Poggiato", , "giov.poggiato@gmail.com", role = "ctb"), - person("Cole", "Trapnell", , "coletrap@uw.edu", role = "ctb"), - person("Maddy", "Duran", , "duran@uw.edu", role = "ctb") + person("Julien", "Chiquet", role = c("aut", "cre"), email = "julien.chiquet@inrae.fr", + comment = c(ORCID = "0000-0002-3629-3429")), + person("Mahendra", "Mariadassou", role = "aut", email = "mahendra.mariadassou@inrae.fr", + comment = c(ORCID = "0000-0003-2986-354X")), + person("Stéphane", "Robin", role ="aut", email = "stephane.robin@inrae.fr"), + person("François", "Gindraud", role = "aut", email = "francois.gindraud@gmail.com"), + person("Julie", "Aubert", role = "ctb", email = "julie.aubert@inrae.fr"), + person("Bastien", "Batardière", role = "ctb", email = "bastien.batardiere@inrae.fr"), + person("Giovanni", "Poggiato", role = "ctb", email = "giov.poggiato@gmail.com"), + person("Cole", "Trapnell", role = "ctb", email = "coletrap@uw.edu"), + person("Maddy", "Duran", role = "ctb", email = "duran@uw.edu") ) -Description: The Poisson-lognormal model and variants (Chiquet, - Mariadassou and Robin, 2021 ) can be - used for a variety of multivariate problems when count data are at - play, including principal component analysis for count data, - discriminant analysis, model-based clustering and network inference. - Implements variational algorithms to fit such models accompanied with - a set of functions for visualization and diagnostic. -License: GPL (>= 3) +Description: The Poisson-lognormal model and variants (Chiquet, Mariadassou and Robin, + 2021 ) can be used for + a variety of multivariate problems when count data are at play, including + principal component analysis for count data, discriminant analysis, model-based clustering and + network inference. Implements variational algorithms to fit such models accompanied with a set of + functions for visualization and diagnostic. URL: https://pln-team.github.io/PLNmodels/ BugReports: https://github.com/pln-team/PLNmodels/issues -Depends: - R (>= 3.6) +License: GPL (>= 3) +Encoding: UTF-8 +Roxygen: list(markdown = TRUE) +RoxygenNote: 7.3.2 +Depends: R (>= 3.6) +LazyData: true +biocViews: Imports: - cli, - corrplot, - dplyr, - future, - future.apply, - ggplot2, - glassoFast, - grid, - gridExtra, - igraph, - magrittr, - MASS, - Matrix, - methods, - nloptr, - pscl, - purrr, - R6, - Rcpp, - rlang, - stats, - tidyr, - torch + methods, + stats, + MASS, + future, + future.apply, + R6, + glassoFast, + pscl, + Matrix, + Rcpp, + nloptr, + igraph, + grid, + gridExtra, + dplyr, + tidyr, + purrr, + ggplot2, + corrplot, + magrittr, + torch, + rlang Suggests: - factoextra, knitr, rmarkdown, - testthat -LinkingTo: - nloptr, - Rcpp, - RcppArmadillo -VignetteBuilder: - knitr -biocViews: -Encoding: UTF-8 -Language: en-US -LazyData: true -Roxygen: list(markdown = TRUE) -RoxygenNote: 7.3.2 + testthat, + pkgdown, + spelling, + factoextra +LinkingTo: Rcpp, RcppArmadillo, nloptr +VignetteBuilder: knitr Collate: 'PLNfit-class.R' 'PLN.R' @@ -108,3 +102,4 @@ Collate: 'utils-zipln.R' 'utils.R' 'zzz.R' +Language: en-US