markovchain-package: Easy Handling Discrete Time Markov Chains

Description Details Author(s) References Examples

Description

The package contains classes and method to create and manage (plot, print, export for example) discrete time Markov chains (DTMC). In addition it provide functions to perform statistical (fitting and drawing random variates) and probabilistic (analysis of DTMC proprieties) analysis.

Details

Package: markovchain
Type: Package
Version: 0.6.9.10
Date: 2018-05-30
License: GPL-2
Depends: R (>= 3.4.0), methods, expm, matlab, igraph, Matrix

Author(s)

Giorgio Alfredo Spedicato Maintainer: Giorgio Alfredo Spedicato <[email protected]>

References

Discrete-Time Markov Models, Bremaud, Springer 1999

Examples

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#create some markov chains
statesNames=c("a","b")
 mcA<-new("markovchain", transitionMatrix=matrix(c(0.7,0.3,0.1,0.9),byrow=TRUE,
 nrow=2, dimnames=list(statesNames,statesNames)))

statesNames=c("a","b","c")
mcB<-new("markovchain", states=statesNames, transitionMatrix=
          matrix(c(0.2,0.5,0.3,
                   0,1,0,
                   0.1,0.8,0.1),nrow=3, byrow=TRUE, dimnames=list(statesNames,
				   statesNames)
                 ))

statesNames=c("a","b","c","d")
matrice<-matrix(c(0.25,0.75,0,0,0.4,0.6,0,0,0,0,0.1,0.9,0,0,0.7,0.3), 
nrow=4, byrow=TRUE)
mcC<-new("markovchain", states=statesNames, transitionMatrix=matrice)
mcD<-new("markovchain", transitionMatrix=matrix(c(0,1,0,1), nrow=2,byrow=TRUE))



#operations with S4 methods

mcA^2
steadyStates(mcB)
absorbingStates(mcB)
markovchainSequence(n=20, markovchain=mcC, include=TRUE)

markovchain documentation built on Aug. 24, 2018, 1:03 a.m.