AIC.bnet: AIC of bnet

In gherardovarando/Rbnet: Define and Manage Bayesian Networks

Description

Computes de Akaike Information Criteria for a bnet object over a dataset of observations

Usage

## S3 method for class 'bnet'
AIC(object, data, ..., k = 2)

Arguments

object	a bnet object
data	the data to compute the log-likelihood
...	compatibility arguments
k	penalization coefficient (k=2 standard AIC)

Value

Numerical, the Akaike Information Criteria computed.

See Also

BIC.bnet

gherardovarando/Rbnet documentation built on May 17, 2019, 4:18 a.m.