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:	0.6.9.14
Depends:	R (≥ 3.5.0), methods
Imports:	igraph, Matrix, matlab, expm, stats4, parallel, Rcpp (≥ 0.12.18), RcppParallel, utils, stats, grDevices
LinkingTo:	Rcpp, RcppParallel, RcppArmadillo
Suggests:	knitr, testthat, diagram, DiagrammeR, msm, etm, Rsolnp, knitcitations, rmarkdown, ctmcd, MmgraphR, bookdown, rticles
Published:	2019-01-21
Author:	Giorgio Alfredo Spedicato [aut, cre], Tae Seung Kang [aut], Sai Bhargav Yalamanchi [aut], Mildenberger Thoralf [ctb], Deepak Yadav [aut], Ignacio Cordón [ctb], Vandit Jain [ctb], Toni Giorgino [ctb]
Maintainer:	Giorgio Alfredo Spedicato <spedicato_giorgio at yahoo.it>
BugReports:	http://github.com/spedygiorgio/markovchain/issues
License:	GPL-2
URL:	http://github.com/spedygiorgio/markovchain/
NeedsCompilation:	yes
SystemRequirements:	GNU make
Citation:	markovchain citation info
Materials:	README NEWS ChangeLog
In views:	Finance
CRAN checks:	markovchain results

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