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ChangeLog
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09-12-2018 0.6.9.14
Added plot from MmgraphR
Added meanFirstPassageTime (thanks to Toni Giorgino)
Add orcid
Add more warning to Statistical Inference Functions
12-08-2018 0.6.9.12
Improved Rcpp performance as suggested by https://www.r-bloggers.com/boost-the-speed-of-r-calls-from-rcpp/
20-04-2018 0.6.9.9
Fixed typo in vignette
MAP method now works also with lists (issue #141)
Fix valgrid error
14-08-2017 0.6.9.8-1
Added is.TimeReversible function
added gm_to_markovchain example
10-07-2017 0.6.9.5
Added empirical bayesian estimate
Various additions from GSOC 2017 (see the new vignette)
31-03-2014 Version 0.6.9
Added sort method
Revised numeric tolerance when creating markovchains
Added suggestion for which row to fix
16-03-2017 Version 0.6.8
Deep restructuring of statistical tests
Add parameter confint to markovchainFit
Fixed bug in markovchainFitList
Handling of NA
02-02-2017 Version 0.6.6.2
Add parameter confint to markovchainFit
27-01-2017 Version 0.6.6.1
Fixing bug in markovchainListFit
22-01-2017
markovchainFit accepts an uneven list now
Added confidence intervals when markovchainFit is given a matrix
08-12-2016
Added patch to divergence test
20-08-2016
Fully parallelized bootstrapped markovchain fit
08-08-2016
Version 0.6
Added multivariate higher order markov chains
Better handlign of steady state analysis on non - recurrent Markov Chains
Fixed an error in the igraph conversion
08-07-2016
Fixed C++ 11 variables types
24-06-2016
Version 0.4.5
Speeding up rmarkovchain using parallel and RcppParallel library.
14-06-2016
Version 0.4.4.4
Bug fixed for markovchainFit when method = bootstrap
09-06-2016
Version 0.4.4.2
added sanitize=false paramter to markovchainFit
31-05-2016
Version 0.4.4.1
Improvement of the internal method checkSequence.
name method to set and get the names of markovchain object.
10-05-2016
Version 0.4.4
rmarkovchain in RCpp (thanks to Deepak and GSOC 2016)
Various small fixes
05-03-2016
Version 0.4.3.1
fixed a bug in the states classification
added options to save output of random sampler in a matrix
10-10-2015
Version 0.4.3
fixed an error in plot function
08-07-2015
Version 0.3.1
Period to Rcpp (thanks to TAE)
communicatingClasses and recurrentClasses (thanks to TAE)
Various optimization (thanks to TAE)
Initial support for Continuous Time Markov Chains (thanks to SAI)
Added new methods: names, !=
15-06-2015
Version 0.3
Added a CrashIntro vignette
Most probability function rewritten in Rcpp
Added standard errors and confidence intervals for MLE (thanks to Tae)
Added confidence intervals for bootstap (thanks to Tae)
Added bayesian Maximum A Posteriori estimation (thanks to Sai)
12-05-2015
Version 0.2.1
Fixed a compatibility issue with R 3 development
12-04-2015
Version 0.2
This is a milestone for markovchain package, since the package project has been
selected within the funded GSOC 2015 projects.
Thanks to Tae support now the fitting functions have been rewritten in Rcpp.
20-03-2015
Version 0.1.3
Fastened the firstpassage time code thanks to Thoralf suggestion
01-03-2015
Version 0.1.2
Add GitHub project url
17-02-2015
Version 0.1.1
Fasten markovchain sequence thanks to Mildenberger Thoralf suggesti
04-01-2015
Version 0.1.0
It is now possible to fit a markovchain and a markovchainList object from a matrix or data.frame
Updated vignettes
Added tests
21-06-2014
Version 0.0.9.5
Updated vignettes
Added a method to convert a square matrix into a markovchain object.
20-04-2014
Version 0.0.9
Updated vignette
Added parallel processing for bootstrap estimation
09-02-2014
Version 0.0.8
Minor vignette enhancements
Added function to find period of a DTMC
12-01-2014
Version 0.0.7
Deeply improved vignettes
Added predict and summary methods
Added function to perform probabilistic analysis
31-12-2013
Version 0.0.5
Improved vignettes
Add predict methods
Add methods for transitory states
04-11-2013
Version 0.0.3
Added various method to easily handle markovchain and markovchainList objects
Implemented rmarkovchain and bootstrap fit
Improved vignettes