BNLearnScorer: BNLearnScorer

In cia: Learn and Apply Directed Acyclic Graphs for Causal Inference

BNLearnScorer

Description

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)
BNLearnScorer('A', c(), data = data)
BNLearnScorer('A', vector(), data = data)
BNLearnScorer('A', NULL, data = data)
BNLearnScorer('A', c('B', 'C'), data = data, type = "bde", iss = 100)
BNLearnScorer('A', c('B', 'C'), data = data, type = "bde", iss = 1)

cia documentation built on April 4, 2025, 5:23 a.m.