getConditionalDistribution: Extracts the conditional distribution from Markov Chain

In qiwei-li/fidcMC: Finite and Infinite, Discrete and Continuous markov chain toolkit

Description

It extracts the conditional distribution of the subsequent state, given current state.

Usage

getConditionalDistribution(mc, state)

Arguments

mc	mc class.
state	char.

Value

The conditional distribution for each subsequent state.

References

A First Course in Probability (8th Edition), Sheldon Ross, Prentice Hall 2010

markovchain CRAN package

Examples

statesNames=c("a","b","c")
markovB<- mc.create(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)),discrete = TRUE ,infinite = FALSE)
getConditionalDistribution(markovB,"b")

qiwei-li/fidcMC documentation built on May 26, 2019, 11:35 a.m.