pchc: bnplot – R documentation

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bnplot

Plot of a Bayesian network

Plot of a Bayesian network.

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

`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.

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

The Bayesian network is visualised.

Michail Tsagris

R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.

## Not run: 
# simulate a dataset with continuous data
x <- matrix( rnorm(200 * 10, 1, 10), nrow = 200 )
a <- pchc(x)
bnplot(a$dag)

## End(Not run)

Bayesian Network Learning with the PCHC and Related Algorithms

v0.5

GPL (>= 2)

Authors

Michail Tsagris [aut, cre]

Initial release

2021-03-21