bnmat: Adjacency matrix of a Bayesian network
In pchc: Bayesian Network Learning with the PCHC and Related Algorithms
Adjacency matrix of a Bayesian network R Documentation
Adjacency matrix of a Bayesian network
Description
Adjacency matrix of a Bayesian network.
Usage
bnmat(dag)
Arguments
dag
A BN object, an object of class "bn".
Details
The function is called from the "bnlearn" package which invokes the "Rgraphviz" package from Bioconductor and you need to install it first.
Value
Adjacency matrix of a Bayesian network is extracted.
Author(s)
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.
See Also
pchc, mmhc, fedhc
Examples
x <- matrix( rnorm(200 * 10, 1, 10), nrow = 200 )
a <- pchc::pchc(x)
pchc::bnmat(a$dag)
pchc documentation built on April 4, 2025, 1:11 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| Adjacency matrix of a Bayesian network | R Documentation |
Adjacency matrix of a Bayesian network
Description
Adjacency matrix of a Bayesian network.
Usage
bnmat(dag)
Arguments
dag |
A BN object, an object of class "bn". |
Details
The function is called from the "bnlearn" package which invokes the "Rgraphviz" package from Bioconductor and you need to install it first.
Value
Adjacency matrix of a Bayesian network is extracted.
Author(s)
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.
See Also
pchc, mmhc, fedhc
Examples
x <- matrix( rnorm(200 * 10, 1, 10), nrow = 200 )
a <- pchc::pchc(x)
pchc::bnmat(a$dag)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.