ICL: Integrated Classification Likelihood

In PLNmodels: Poisson Lognormal Models

Integrated Classification Likelihood

Description

Generic function to compute the Integrated Classification Likelihood (ICL) of a fitted model. ICL = BIC - entropy of the variational distribution (larger is better).

ICL.PLNfit: ICL for a fitted PLNfit.

ICL.ZIPLNfit: ICL for a fitted ZIPLNfit.

Usage

ICL(object, ...)

## S3 method for class 'PLNfit'
ICL(object, ...)

## S3 method for class 'ZIPLNfit'
ICL(object, ...)

Arguments

object	an R6 object with class ZIPLNfit
...	additional parameters passed to methods

Value

A scalar: the variational ICL (larger is better).

Examples

data(trichoptera)
trichoptera <- prepare_data(trichoptera$Abundance, trichoptera$Covariate)
model <- PLN(Abundance ~ 1, data = trichoptera)
ICL(model)
data(trichoptera)
trichoptera <- prepare_data(trichoptera$Abundance, trichoptera$Covariate)
model <- ZIPLN(Abundance ~ 1, data = trichoptera)
ICL(model)

PLNmodels documentation built on July 27, 2026, 5:09 p.m.