BMNExamples {BMN} | R Documentation |
Sampling from pairwise binary Markov model using Gibbs sampling. This function is not efficient and only intended to be used in the examples.
BMNSamples(Theta, numSamples, burnIn, skip)
Theta |
Parameter matrix for the model from which the data is being generated. |
numSamples |
Number of samples to return. |
burnIn |
Number of samples to discard as burn in. |
skip |
Number of samples to discard in-between returned samples. |
BMNSamples
generates numSamples
by using Gibbs sampling. When using Gibbs sampling, it is necessary to discard the initial samples, which is controlled by the parameter burnIn
. In order for the drawn samples to be independent, samples in-between also have to be discarded, which is controlled by skip
.
Returns a matrix of 0 and 1 of size numSamples
times p
where p
is the number of rows of Theta
.
Holger Hoefling