| Markov blanket of a node in a Bayesian network {pchc} | R Documentation |
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 mtsagris@uoc.gr.
See Also
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)
[Package pchc version 1.2 Index]