support: Support Function (Log Relative Likelihood)

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

Support Function (Log Relative Likelihood)

Description

Computes the support for parameter value theta relative to the MLE: S(theta) = logL(theta) - logL(theta_hat)

Usage

support(x, ...)

## S3 method for class 'fisher_mle'
support(x, theta, data, model, ...)

Arguments

x	A fisher_mle object
...	Additional arguments passed to loglik
theta	Parameter value(s) to evaluate
data	Data frame used for likelihood computation
model	The likelihood model used for fitting

Details

The support function is always <= 0, with maximum at the MLE. Values of theta with support > -2 are considered well-supported. Values with support > -log(8) ~ -2.08 correspond roughly to a 95% likelihood interval.

Value

Support value(s): logL(theta) - logL(theta_hat)

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