mle_estimate_p_value_lognormal: Maximum Likelihood Estimation for p_value using log-normal...

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

Maximum Likelihood Estimation for p_value using log-normal distribution

Description

Estimates p_value and uncertainty using observed final weights with a frequentist likelihood approach assuming log-normal weight distribution.

Usage

mle_estimate_p_value_lognormal(
  observed_weights,
  simulation_function,
  estimate_sigma = TRUE,
  fixed_sigma = 0.1
)

Arguments

observed_weights	Vector of observed final weights
simulation_function	Function that runs simulation and returns weight
estimate_sigma	Whether to estimate sigma or use fixed value
fixed_sigma	Fixed sigma value (if estimate_sigma = FALSE)

Value

List with MLE results

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