Other packages > Find by keyword >

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", "1.1.1")



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 1.1.1, https://cran.r-project.org/web/packages/markovchain. Accessed 08 Oct. 2026.
Previous versions and publish date:
(2026-09-19 00:02), 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), 0.10.3 (2026-02-02 07:30), 1.0.0 (2026-08-25 07:20)
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

shinymodels  
Interactive Assessments of Models
Launch a 'shiny' application for 'tidymodels' results. For classification or regression models, the ...
Download / Learn more Package Citations See dependency  
kriens  
Continuation Passing Style Development
Provides basic functions for Continuation-Passing Style development. ...
Download / Learn more Package Citations See dependency  
imguR  
An Imgur.com API Client Package
A complete API client for the image hosting service Imgur.com, including the an imgur graphics devic ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
eDMA  
Dynamic Model Averaging with Grid Search
Perform dynamic model averaging with grid search as in Dangl and Halling (2012) ...
Download / Learn more Package Citations See dependency  

28,989

R Packages

247,686

Dependencies

76,495

Author Associations

28,990

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA