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:

Usage

## S4 method for signature 'MNM'
AIC(object)

Arguments

object

An object of class "MNM".

Value

A numeric value representing the AIC of the fitted model.


[Package MultiNMix version 0.1.0 Index]