BNLearnScorer — BNLearnScorer • cia

A thin wrapper on the bnlearn::score function.

Usage

BNLearnScorer(node, parents, ...)

Arguments

node: Name of node to score.
parents: The parents of node.
...: The ellipsis is used to pass other parameters to the scorer.

Value

A numeric value representing the log score of the node given the parents.

Examples

data <- bnlearn::learning.test
BNLearnScorer('A', c('B', 'C'), data = data)
#> [1] -4395.422
BNLearnScorer('A', c(), data = data)
#> [1] -5501.568
BNLearnScorer('A', vector(), data = data)
#> [1] -5501.568
BNLearnScorer('A', NULL, data = data)
#> [1] -5501.568
BNLearnScorer('A', c('B', 'C'), data = data, type = "bde", iss = 100)
#> [1] -4374.008
BNLearnScorer('A', c('B', 'C'), data = data, type = "bde", iss = 1)
#> [1] -4403.79