AIC,MNM-method {MultiNMix} | R Documentation |
AIC Method for "MNM" Class
Description
Computes the Akaike Information Criterion (AIC) for an object of class "MNM"
.
AIC is a metric used for model comparison, balancing goodness of fit and model complexity.
The formula for AIC is:
AIC = -2 \cdot \log L + 2 \cdot k
where:
-
\log L
is the log-likelihood of the model. -
k
is the number of parameters in the model.
Usage
## S4 method for signature 'MNM'
AIC(object)
Arguments
object |
An object of class |
Value
A numeric value representing the AIC of the fitted model.
[Package MultiNMix version 0.1.0 Index]