deviance.fisher_mle: Deviance for likelihood models

In likelihood.model: Likelihood-Based Statistical Inference in the Fisherian Tradition

Deviance for likelihood models

Description

Computes the deviance, which is useful for model comparison.

Usage

## S3 method for class 'fisher_mle'
deviance(object, null_model = NULL, ...)

Arguments

object	A fisher_mle object
null_model	Optional reduced/null model for comparison
...	Additional arguments (ignored)

Details

When called with a single model, returns -2 * logL (the deviance relative to a saturated model).

When called with two models, returns the deviance difference: D = 2 * (logL_full - logL_reduced)

Under the null hypothesis that the reduced model is correct, D is asymptotically chi-squared with df = p_full - p_reduced.

Value

Deviance value

likelihood.model documentation built on March 19, 2026, 9:07 a.m.