sample.conditional: Conditional sampling method
In CRF: Conditional Random Fields

Generating samples from the distribution

1	sample.conditional(crf, size, clamped, sample.method, ...)

`crf`	The CRF
`size`	The sample size
`clamped`	The vector of fixed values for clamped nodes, 0 for unfixed nodes
`sample.method`	The sampling method to solve the clamped CRF
`...`	The parameters for `sample.method`

Conditional sampling (takes another sampling method as input)

This function will return a matrix with size rows and crf$n.nodes columns, in which each row is a sampled configuration.

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library(CRF)
data(Small)
s <- sample.conditional(Small$crf, 100, c(0,1,0,0), sample.exact)

CRF documentation built on Dec. 1, 2019, 3:02 a.m.

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