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markovchain  

Easy Handling Discrete Time Markov Chains
View on CRAN: Click here


Download and install markovchain package within the R console
Install from CRAN:
install.packages("markovchain")

Install from Github:
library("remotes")
install_github("cran/markovchain")

Install by package version:
library("remotes")
install_version("markovchain", "0.10.0")



Attach the package and use:
library("markovchain")
Maintained by
Giorgio Alfredo Spedicato
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-08-13
Latest Update: 2024-11-14
Description:
Functions and S4 methods to create and manage discrete time Markov chains more easily. In addition functions to perform statistical (fitting and drawing random variates) and probabilistic (analysis of their structural proprieties) analysis are provided. See Spedicato (2017) . Some functions for continuous times Markov chains depends on the suggested ctmcd package, that, as May 2023, can be retrieved from .
How to cite:
Giorgio Alfredo Spedicato (2013). markovchain: Easy Handling Discrete Time Markov Chains. R package version 0.10.0, https://cran.r-project.org/web/packages/markovchain. Accessed 05 Mar. 2026.
Previous versions and publish date:
0.0.1 (2013-08-13 23:46), 0.0.2 (2013-09-09 23:38), 0.0.3 (2013-11-04 08:04), 0.0.5 (2013-12-31 22:04), 0.0.7 (2014-01-12 01:13), 0.0.8 (2014-02-10 06:55), 0.0.9.5 (2014-06-21 01:12), 0.0.9 (2014-04-19 18:49), 0.1.0 (2015-01-04 07:05), 0.1.1 (2015-02-21 18:10), 0.2.1 (2015-05-12 12:48), 0.2 (2015-04-30 02:27), 0.3.0.1 (2015-06-19 08:45), 0.3.1 (2015-07-07 13:17), 0.3 (2015-06-14 23:46), 0.4.2 (2015-08-24 15:55), 0.4.3.1 (2016-03-05 18:20), 0.4.3 (2015-11-26 14:15), 0.4.4 (2016-05-12 14:47), 0.4.9.9 (2016-07-03 22:06), 0.4 (2015-08-04 00:34), 0.5 (2016-07-07 23:46), 0.6.5.1 (2016-09-09 00:25), 0.6.5 (2016-08-30 01:44), 0.6.6 (2017-01-23 08:22), 0.6.8.1 (2017-03-17 08:24), 0.6.9.3 (2017-05-19 08:17), 0.6.9.6 (2017-07-10 00:44), 0.6.9.8-1 (2017-08-16 11:05), 0.6.9.10 (2018-06-03 00:57), 0.6.9.11 (2018-06-29 23:23), 0.6.9.12 (2018-08-24 00:02), 0.6.9.14 (2019-01-21 20:50), 0.6.9.16 (2019-07-22 23:20), 0.6.9 (2017-04-06 00:09), 0.6 (2016-08-11 18:40), 0.7.0 (2019-08-27 00:30), 0.8.0 (2019-09-14 23:30), 0.8.1 (2019-12-17 00:00), 0.8.2 (2020-01-10 06:30), 0.8.3 (2020-03-07 07:00), 0.8.4.1 (2020-05-04 00:20), 0.8.4 (2020-03-12 07:30), 0.8.5-2 (2020-09-08 23:00), 0.8.5-3 (2020-12-06 07:20), 0.8.5-4 (2021-01-10 18:10), 0.8.5 (2020-05-21 07:10), 0.8.6 (2021-05-17 19:40), 0.8.9 (2022-05-26 00:50), 0.9.0 (2022-07-01 14:30), 0.9.1 (2023-01-19 22:00), 0.9.3 (2023-05-18 12:50), 0.9.4 (2023-08-31 12:30), 0.9.5 (2023-09-24 11:20), 0.10.0 (2024-11-14 01:00)
Other packages that cited markovchain R package
View markovchain citation profile
Other R packages that markovchain depends, imports, suggests or enhances
Complete documentation for markovchain
Functions, R codes and Examples using the markovchain R package
Some associated functions: ExpectedTime . HigherOrderMarkovChain-class . absorptionProbabilities . blanden . committorAB . conditionalDistribution . craigsendi . ctmc-class . ctmcFit . expectedRewards . expectedRewardsBeforeHittingA . firstPassage . firstPassageMultiple . fitHighOrderMultivarMC . fitHigherOrder . freq2Generator . generatorToTransitionMatrix . getName . hittingProbabilities . holson . hommc-class . hommc-show . ictmc-class . impreciseProbabilityatT . inferHyperparam . is.CTMCirreducible . is.TimeReversible . is.accessible . is.irreducible . is.regular . kullback . markovchain-class . markovchain . markovchainFit . markovchainList-class . markovchainListFit . markovchainSequence . meanAbsorptionTime . meanFirstPassageTime . meanNumVisits . meanRecurrenceTime . multinomialConfidenceIntervals . names . noofVisitsDist . ones . predictHommc . predictiveDistribution . preproglucacon . priorDistribution . probabilityatT . rain . rctmc . rmarkovchain . sales . setName . states . statisticalTests . steadyStates . structuralAnalysis . tm_abs . transition2Generator . transitionProbability . zeros . 
Some associated R codes: RcppExports.R . classesAndMethods.R . ctmcClassesAndMethods.R . ctmcProbabilistic.R . data.R . fitHigherOrder.R . fittingFunctions.R . hommc.R . markovchain.R . matlab_package_functions.R . probabilistic.R . random.R . statisticalTests.R . supplementaryPlot.R . utils.R . zzz.R .  Full markovchain package functions and examples
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