scoreParentsTable: Score a node-level parentsTable.

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

Description

Computes the scores of all the Bayesian Networks, with parent sets corresponding to each row of a single component of a parentsTable.

Usage

  scoreParentsTable(parentsTables, logScoreLocalFUN,
    logScoreParameters, prior, verbose = F)

Arguments

parentsTables	A component of a parentsTables, of the form created by enumerateParentsTable().
logScoreLocalFUN	A function that computes the local logScore of a Bayesian Network.
logScoreParameters	A list of parameters that are passed to logScoreFUN.
loalPriors	A list of functions of the same length as the number of nodes that returns the local prior score of the corresponding node, given a numeric vector of parents.
verbose	A logical of length 1, indicating whether verbose output should be printed.

Value

List of numeric vectors of scores.

See Also

scoreParentsTableNode, enumerateParentsTable, whichParentSetRows, getRowsThatContain

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