markovchain: Easy Handling Discrete Time Markov Chains

Functions and S4 methods to create and manage discrete time Markov chains (DTMC) more easily. In addition functions to perform statistical (fitting and drawing random variates) and probabilistic (analysis of DTMC proprieties) analysis are provided.

Version: 0.4.2
Depends: R (≥ 3.0.0), methods
Imports: igraph, Matrix, matlab, expm, stats4, parallel, Rcpp (≥ 0.11.5), RcppParallel, utils, stats
LinkingTo: Rcpp, RcppParallel, RcppArmadillo
Suggests: knitr, testthat, diagram, DiagrammeR, msm, etm, Rsolnp
Published: 2015-08-24
Author: Giorgio Alfredo Spedicato [aut,cre], Tae Seung Kang [aut], Sai Bhargav Yalamanchi [aut], Mildenberger Thoralf [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

Downloads:

Reference manual: markovchain.pdf
Vignettes: An introduction to markovchain package
Bayesian Inference of First Order Markov Chains
Continuous Time Markov Chains
Crash Introduction to markovchain R package
Package source: markovchain_0.4.2.tar.gz
Windows binaries: r-devel: markovchain_0.4.2.zip, r-release: markovchain_0.4.2.zip, r-oldrel: markovchain_0.4.2.zip
OS X Snow Leopard binaries: r-release: markovchain_0.4.2.tgz, r-oldrel: markovchain_0.2.1.tgz
OS X Mavericks binaries: r-release: markovchain_0.4.2.tgz
Old sources: markovchain archive

Reverse dependencies:

Reverse imports: lifecontingencies
Reverse suggests: FuzzyStatProb