AIC.dbn: Calculate the AIC of a dynamic Bayesian network
In dbnR: Dynamic Bayesian Network Learning and Inference
View source: R/bnlearn_compat.R
AIC.dbn 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
dbnR documentation built on June 22, 2024, 10:54 a.m.
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View source: R/bnlearn_compat.R
| AIC.dbn | 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
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.
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