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