SimulateMarkovChain: Simulate a Markov Chain Given a Transition Matrix
In bvegetabile/ccber: Estimation of Behavioral Entropy Rate
Description
Usage
Arguments
Value
Examples
Description
Simulate a Markov Chain Given a Transition Matrix
Usage
1
SimulateMarkovChain(trans_mat, n_sims = 100)
Arguments
trans_mat
A row-stochastic matrix representing a Markov transition matrix
n_sims
Number of observations for simulation length. Default of 100.
Value
A vector of observations from a Markov chain
Examples
1
2
3
t_mat <- matrix(c(0.3, 0.7, 0.6, 0.4), 2,2, T)
sim_mc <- SimulateMarkovChain(t_mat)
sim_mc <- SimulateMarkovChain(t_mat, n_sims = 500)
bvegetabile/ccber documentation built on May 10, 2019, 1:15 p.m.
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Description Usage Arguments Value Examples
Description
Simulate a Markov Chain Given a Transition Matrix
Usage
1 | SimulateMarkovChain(trans_mat, n_sims = 100)
|
Arguments
trans_mat |
A row-stochastic matrix representing a Markov transition matrix |
n_sims |
Number of observations for simulation length. Default of 100. |
Value
A vector of observations from a Markov chain
Examples
1 2 3 | t_mat <- matrix(c(0.3, 0.7, 0.6, 0.4), 2,2, T)
sim_mc <- SimulateMarkovChain(t_mat)
sim_mc <- SimulateMarkovChain(t_mat, n_sims = 500)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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