bnlearn (version 5.0.1)

BF: Bayes factor between two network structures

Description

Compute the Bayes factor between the structures of two Bayesian networks..

Usage

BF(num, den, data, score, ..., log = TRUE)

Value

A single numeric value, the Bayes factor of the two network structures

num and den.

Arguments

num, den

two objects of class bn, corresponding to the numerator and the denominator models in the Bayes factor.

data

a data frame containing the data to be used to compute the Bayes factor.

score

a character string, the label of a posterior network score or custom for the custom score. If none is specified, the default score is the Bayesian Dirichlet equivalent score (bde) for discrete networks and the Bayesian Gaussian score (bge) for Gaussian networks. Other kinds of Bayesian networks are not currently supported.

...

extra tuning arguments for the posterior scores. See score for details.

log

a boolean value. If TRUE the Bayes factor is given as log(BF).

Author

Marco Scutari

See Also

score, compare, bf.strength.

Examples

data(learning.test)

dag1 = model2network("[A][B][F][C|B][E|B][D|A:B:C]")
dag2 = model2network("[A][C][B|A][D|A][E|D][F|A:C:E]")
BF(dag1, dag2, learning.test, score = "bds", iss = 1)