bias.fisher_mle: Bias for fisher_mle

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

Bias for fisher_mle

Description

Estimates the bias of the MLE. Without a model and true parameter value, returns zeros (asymptotic bias is zero under regularity conditions). When both theta and model are provided, performs a Monte Carlo simulation study to estimate finite-sample bias.

Usage

## S3 method for class 'fisher_mle'
bias(x, theta = NULL, model = NULL, n_sim = 1000, ...)

Arguments

x	A fisher_mle object
theta	True parameter value (for simulation studies)
model	A likelihood model with rdata and fit methods (optional)
n_sim	Number of Monte Carlo replicates (default 1000)
...	Additional arguments (ignored)

Value

Bias estimate vector

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