Relative Likelihood — relative_likelihood • likelihood.model

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

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

Value

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

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