fisher_mle: Maximum Likelihood Estimate (Fisherian)

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

Maximum Likelihood Estimate (Fisherian)

Description

Creates a fisher_mle object representing a maximum likelihood estimate with methods for standard inference. This class emphasizes the Fisherian approach to likelihood-based inference.

Usage

fisher_mle(
  par,
  vcov = NULL,
  loglik_val,
  hessian = NULL,
  score_val = NULL,
  nobs = NULL,
  converged = TRUE,
  optim_result = NULL
)

Arguments

par	Numeric vector of parameter estimates (may be named)
vcov	Variance-covariance matrix of the estimates
loglik_val	Log-likelihood value at the MLE
hessian	Hessian matrix of the log-likelihood at the MLE
score_val	Optional score vector at the MLE (should be near zero)
nobs	Number of observations used in estimation
converged	Logical indicating if optimization converged
optim_result	Raw result from optim() for diagnostics

Value

An object of class c("fisher_mle", "mle_fit")

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