logOrderLikelihood: Log likelihood of an order

In rjbgoudie/structmcmc: Structural inference for Bayesian Networks and Variable Selection.

Description

Evaluates the log likelihood of an order, using the efficient decompostion used by Freidman and Koller (2003) (equation 8).

Usage

  logOrderLikelihood(order, numberOfNodes, nodesSeq,
    scoresParents, parentsTables, allRows, rowsThatContain)

Arguments

order	A vector length numberOfNodes, giving a permuation of 1:numberOfNodes.
numberOfNodes	The number of nodes in the network. A numeric vector of length 1.
nodesSeq	The vector 1:nNodes(currentNetwork). (Supplied as an argument for possible speed gain)
scoresParents	A list of the form returned by scoreParentsTable()
parentsTables	A list of tables of the form returned by enumerateParentsTable()
allRows	The vector 1:nrow(parentsTables). (Supplied as an argument for possible speed gain)
rowsThatContain	A list of the form created by getRowsThatContain()

Value

Returns the sampled network. A currentNetwork object.

References

Friedman, N., & Koller, D. (2003). Being Bayesian about Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks. Machine Learning, 50, 95-125. http://dx.doi.org/10.1023/A:1020249912095

See Also

BNGibbsSampler, samplePair

rjbgoudie/structmcmc documentation built on Nov. 3, 2020, 3:41 a.m.