High-Performance Open-Source Archive
Handled R_CHECK_PACKAGES_USED_IN_DEMO
2022-09-23 0.9.1 Uptick Matrix reqs
2022-07-01 0.9.0 Bugfix a state classification error in Rcpp
2022-05-21 0.8.9 Removal of Matlab package dependency
2021-05-7 0.8.6 Fix a bug in markovchainListFit that made confusion between lists and data.frames
2020-12-04 0.8.5-2 Fixing unavailable software issues and language glitches
2020-09-21 0.8.5-1 Coping with etm unavailability
2020-05-21 0.8.5 Fixed DoF in verify markov property and supported input in compare teorethical
2020-05-04 0.8.4.1 2022-09-23 0.9.1
Uptick Matrix reqs 2022-07-01 0.9.0
Bugfix a state classification error in Rcpp 2022-05-21
0.8.9 Removal of Matlab package dependency
2021-05-7 0.8.6 Fix a bug in markovchainListFit that made confusion between lists and data.frames
2020-12-04 0.8.5-2 Fixing unavailable software issues and language glitches
2020-09-21 0.8.5-1 Coping with etm unavailability
2020-05-21 0.8.5 Fixed DoF in verify markov property and supported input in compare teorethical
2020-05-04 0.8.4.1 Fixed presentation
2020-03-16 0.8.4Limiting output lines in vignettes.
2020-03-15 0.8.3 Add small changes in code to cope with upcoming R 4.0.0 (stringsAsFactor=TRUE in data.frame).
2019-12-10 0.8.2 Add small changes in code to cope with upcoming R 4.0.0 (no more check class(x)==‘matrix’) as well as packages’ unavailable.
2019-08-13 0.7.0 Improves performance and refactors
communicatingClasses, recurrentClasses,
transientStates, is.irreducible,
canonicForm, summary and
steadyStates methods, porting them to C++ whenever possible
and improving the algorithmic complexity of the code. Solves a bug with
steadyStates method. Adds the methods
recurrentStates and transientClasses. Makes
the aforementioned methods work on by column Markov chains. Improves
tests, adding checking of mathematical structural properties and
hundreds of random test cases. Fixes documentation for
roxygen and NAMESPACE file for automatic generation using
devtools::document()
Bumps Ignacio Cordón as author (ORCID included) 2019-07-01 0.6.9.15 Fixed confidence interval calculation: true confidence intervals are now 1-(1-confidence_interval)/2 Various code refactoring
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
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 suggestion
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
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