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Generating samples from the distribution
sample.gibbs( crf, size, burn.in = 1000, start = apply(crf$node.pot, 1, which.max) )
The CRF
The sample size
The number of samples at the beginning that will be discarded
An initial configuration
This function will return a matrix with size rows and crf$n.nodes columns, in which each row is a sampled configuration.
size
crf$n.nodes
Approximate sampling using a single-site Gibbs sampler
# NOT RUN { library(CRF) data(Small) s <- sample.gibbs(Small$crf, 100) # }
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