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.

Maintainer: Giorgio Alfredo Spedicato <spedicato_giorgio at yahoo.it>

Author(s): Giorgio Alfredo Spedicato*, Tae Seung Kang*, Sai Bhargav Yalamanchi*, Mildenberger Thoralf*, Deepak Yadav*, Nacho Cordón Castillo*, Vandit Jain*

Install package and any missing dependencies by running this line in your R console:

install.packages("markovchain")

Depends R (>= 3.2.0), methods
Imports igraph, Matrix, matlab, expm, stats4, parallel, Rcpp(>=0.11.5), RcppParallel, utils, stats, grDevices
Suggests knitr, testthat, diagram, DiagrammeR, msm, etm, Rsolnp, knitcitations, rmarkdown, ctmcd
Enhances
Linking to Rcpp, RcppParallel, RcppArmadillo
Reverse
depends
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imports
lifecontingencies, Robocoap
Reverse
suggests
aqp, ctmcd, FuzzyStatProb
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enhances
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linking to

Package markovchain
Materials
URL http://github.com/spedygiorgio/markovchain/
Task Views Finance
Version 0.6.9.8-1
Published 2017-08-16
License GPL-2
BugReports http://github.com/spedygiorgio/markovchain/issues
SystemRequirements GNU make
NeedsCompilation yes
Citation
CRAN checks markovchain check results
Package source markovchain_0.6.9.8-1.tar.gz