bnplot: Plot of a Bayesian network

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

Plot of a Bayesian network

Description

Plot of a Bayesian network.

Usage

bnplot(dag, shape = "ellipse", main = NULL, sub = NULL, highlight = NULL)

Arguments

dag	A BN object, an object of class "bn".
shape	A character string defining the shape of the nodes, "ellipse" (default value), "circle" or "rectangle".
main	The main title of the graph displayed on the top.
sub	The subtitle of the graph displayed at the bottom.
highlight	A list with options specifying which nodes to plot with different colours. You can also check the package bnlearn or the package Rgraphviz for more information on this, or simply check the example below.

Details

The function is called from the "bnlearn" package which invokes the "Rgraphviz" package from Bioconductor and you need to install it first.

Value

The Bayesian network is visualised.

Author(s)

Michail Tsagris.

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

See Also

pchc, mmhc, fedhc

Examples

if (require("Rgraphviz") ) {
# simulate a dataset with continuous data
x <- matrix( rnorm(100 * 15, 1, 5), nrow = 100 )
colnames(x) <- paste("X", 1:15, sep = "")
nam <- colnames(x)
a <- pchc(x)
bnplot(a$dag)
bnplot( a$dag, highlight = list(nodes = nam[c(2, 3)],
col = "tomato", fill = "orange") )
}

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