mb: Markov blanket of a node in a Bayesian network

In pchc: Bayesian Network Learning with the PCHC and Related Algorithms

Markov blanket of a node in a Bayesian network

Description

Markov blanket of a node in a Bayesian network.

Usage

mb(bn, node)

Arguments

bn	This can either be a bn object or the adjacency matrix.
node	A vector with one number indicating the node or variable whose Markov blanket is to be returned.

Details

The Markov blanket of a variable (node) is the set of its parents, children and spouses.

Value

parents	The parents of the node of interest.
children	The children of the node of interest.
spouses	The spouses of the node of interest. These are the other parents of the children of the node of interest.
markov.blanket	The Markov blanket of the node of interest. The collection of all the previous.

Author(s)

Michail Tsagris.

R implementation and documentation: Michail Tsagris [e-mail].

See Also

pchc, fedhc, mmhc, bnplot

Examples

y <- pchc::rbn3(1000, 10, 0.3)
tru <- y$G
x <- y$x
mod <- pchc(x)
pchc::bnplot(mod$dag)
G <- pchc::bnmat(mod$dag)
pchc::mb(G, 6)

pchc documentation built on April 4, 2025, 1:11 a.m.