compute_likelihood_profile: Compute likelihood profile for p_value

In fb4package: 'Fish Bioenergetics 4.0' Model Implementation with High-Performance 'TMB' Backend

Compute likelihood profile for p_value

Description

Computes the likelihood profile by evaluating the log-likelihood function across a grid of p_values while keeping all other parameters at their MLE.

Usage

compute_likelihood_profile(
  p_estimate,
  p_se,
  simulation_function,
  observed_weights,
  sigma_estimate,
  grid_size = 50,
  grid_range_factor = 3
)

Arguments

p_estimate	Central p_value (MLE estimate)
p_se	Standard error of p_value
simulation_function	Function that runs simulation and returns target metric
observed_weights	Vector of observed weights
sigma_estimate	Estimated sigma parameter
grid_size	Number of points in profile grid, default 50
grid_range_factor	Range factor around estimate (±factor*SE), default 3

Value

Data frame with p_values and corresponding log_likelihoods

fb4package documentation built on May 8, 2026, 1:07 a.m.