markovchain: Easy Handling Discrete Time Markov Chains

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.

Version: 0.8.0
Depends: R (≥ 3.5.0), methods
Imports: igraph, Matrix, matlab, expm, stats4, parallel, Rcpp (≥ 1.0.2), RcppParallel, utils, stats, grDevices
LinkingTo: Rcpp, RcppParallel, RcppArmadillo (≥ 0.9.600.4.0)
Suggests: knitr, testthat, diagram, DiagrammeR, msm, etm, Rsolnp, knitcitations, rmarkdown, ctmcd, MmgraphR, bookdown, rticles
Published: 2019-09-14
Author: Giorgio Alfredo Spedicato ORCID iD [aut, cre], Tae Seung Kang [aut], Sai Bhargav Yalamanchi [aut], Mildenberger Thoralf ORCID iD [ctb], Deepak Yadav [aut], Ignacio Cordón ORCID iD [aut], Vandit Jain [ctb], Toni Giorgino ORCID iD [ctb]
Maintainer: Giorgio Alfredo Spedicato <spedicato_giorgio at>
License: GPL-2
NeedsCompilation: yes
SystemRequirements: GNU make
Citation: markovchain citation info
Materials: README NEWS ChangeLog
In views: Finance
CRAN checks: markovchain results


Reference manual: markovchain.pdf
Vignettes: An introduction to markovchain package
Google Summer of Code 2017 Additions
Higher order markov chains
Crash Introduction to markovchain R package
Package source: markovchain_0.8.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: markovchain_0.8.0.tgz, r-oldrel: markovchain_0.8.0.tgz
Old sources: markovchain archive

Reverse dependencies:

Reverse imports: lifecontingencies, modesto, Robocoap
Reverse suggests: aqp, ctmcd, FuzzyStatProb, MPkn


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