relative_likelihood: Relative Likelihood

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

Relative Likelihood

Description

Computes the relative likelihood (likelihood ratio) for theta: R(theta) = L(theta) / L(theta_hat) = exp(S(theta))

Usage

relative_likelihood(x, ...)

## S3 method for class 'fisher_mle'
relative_likelihood(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 relative likelihood is always between 0 and 1, with maximum 1 at the MLE. Common cutoff values:

• R >= 0.15 (k=8): roughly equivalent to 95% confidence

• R >= 0.10 (k=10): more conservative

• R >= 0.05 (k=20): very conservative

Value

Relative likelihood value(s): L(theta)/L(theta_hat)

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