Markov blanket of a node in a Bayesian network
Markov blanket of a node in a Bayesian network.
mb(bn, node)
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. |
The Markov blanket of a variable (node) is the set of its parents, children and spouses.
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. |
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.
## 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) ## End(Not run)
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