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", "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: 2023-08-31
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 22 Dec. 2024.
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)
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
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

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