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:

Usage

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

Arguments

object

An object of class "MNM".

Value

A numeric value representing the BIC of the fitted model.


[Package MultiNMix version 0.1.0 Index]