pchc (version 0.4)

Markov blanket of a node in a Bayesian network: 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.

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.

Details

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

See Also

pchc, fedhc, mmhc, bnplot

Examples

# NOT RUN {
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)
# }