mc_sim: Generate Discrete Markov Chain
In bdemeshev/vectordf: vectordf-package: functions for distributions with vector degrees of freedom (t, gamma)

Generate Discrete Markov Chain

1	mc_sim(trans, n = 1, start = 1)

`trans`	square transition matrix
`n`	number of states to generate
`start`	either a starting state (default is state 1) or a vector of probabilities for starting state

Generate Discrete Markov Chain given transition matrix

integer vector of simulated states

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3

P <- 0.7*diag(3) + 0.1
mc <- mc_sim(P, n=100)
mc

bdemeshev/vectordf documentation built on May 12, 2019, 9:40 a.m.

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