| AIC.dbn {dbnR} | R Documentation |
Calculate the AIC of a dynamic Bayesian network
Description
Generic method for calculating the Akaike information criterion (AIC) of a
"dbn" S3 object given some data. Calls bnlearn's AIC underneath.
Usage
## S3 method for class 'dbn'
AIC(object, ..., k)
Arguments
object |
the structure of the network |
... |
additional parameters for the network scoring |
k |
the penalty parameter |
Value
the AIC score of the network
[Package dbnR version 0.7.9 Index]