BIC.fcm: Bayesian Information Criterion (BIC) for fcm objects

In eFCM: Exponential Factor Copula Model

Bayesian Information Criterion (BIC) for fcm objects

Description

Compute the BIC value for a fitted fcm model using the formula:

\mathrm{BIC} = -2 \cdot \log L + \log(n) \cdot p

where n is the number of observations and p is the number of parameters.

Usage

## S3 method for class 'fcm'
BIC(object, ...)

Arguments

object	An object of class fcm, created by fcm().
...	Currently unused.

Value

A numeric scalar giving the BIC value for the fitted model.

See Also

AIC.fcm(), AICc.fcm()

eFCM documentation built on Sept. 9, 2025, 5:52 p.m.