fit_fb4_mle: Fit FB4 model using Maximum Likelihood Estimation

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

Fit FB4 model using Maximum Likelihood Estimation

Description

Coordinates the MLE fitting process: runs the log-normal likelihood optimisation, optionally computes a likelihood profile, and runs a final detailed simulation with the estimated p_value.

Usage

fit_fb4_mle(
  observed_weights,
  processed_simulation_data,
  estimate_sigma = TRUE,
  oxycal = 13560,
  confidence_level = 0.95,
  compute_profile = FALSE,
  profile_grid_size = 50,
  verbose = FALSE
)

Arguments

observed_weights	Vector of observed final weights
processed_simulation_data	Complete processed simulation data
estimate_sigma	Whether to estimate measurement error
oxycal	Oxycalorific coefficient (J/g O2), default 13560
confidence_level	Confidence level for intervals, default 0.95
compute_profile	Whether to compute likelihood profile, default FALSE
profile_grid_size	Number of points in profile grid, default 50
verbose	Whether to show progress messages, default FALSE

Value

List with MLE fitting results

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