Support Function (Log Relative Likelihood)

Source: R/core-fisherian.R

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

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

Value

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

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.