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: 0.2.1
Depends: R (≥ 3.0.0), methods
Imports: igraph, Matrix, matlab, expm, stats4, parallel, Rcpp (≥ 0.11.5), RcppParallel
LinkingTo: Rcpp, RcppParallel
Suggests: testthat
Published: 2015-05-12
Author: Giorgio Alfredo Spedicato [aut,cre], Tae Seung Kang [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
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
Package source: markovchain_0.2.1.tar.gz
Windows binaries: r-devel: markovchain_0.2.1.zip, r-release: markovchain_0.2.1.zip, r-oldrel: markovchain_0.2.1.zip
OS X Snow Leopard binaries: r-release: markovchain_0.2.1.tgz, r-oldrel: markovchain_0.2.1.tgz
OS X Mavericks binaries: r-release: markovchain_0.2.1.tgz
Old sources: markovchain archive

Reverse dependencies:

Reverse imports: lifecontingencies
Reverse suggests: FuzzyStatProb