fit_fb4_bootstrap: Fit FB4 model using bootstrap estimation with parallel option

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

Fit FB4 model using bootstrap estimation with parallel option

Description

Coordinates the bootstrap fitting process: runs the resampling loop via bootstrap_p_values, computes summary statistics and confidence intervals, and runs a final detailed simulation with the mean p_value.

Usage

fit_fb4_bootstrap(
  final_weights,
  processed_simulation_data,
  n_bootstrap = 1000,
  oxycal = 13560,
  confidence_level = 0.95,
  sample_size = NULL,
  compute_percentiles = TRUE,
  parallel = FALSE,
  n_cores = NULL,
  upper_p = 1,
  verbose = FALSE,
  store_predicted_weights = TRUE
)

Arguments

final_weights	Vector of final observed weights
processed_simulation_data	Complete processed simulation data (contains initial_weight)
n_bootstrap	Number of bootstrap iterations, default 1000
oxycal	Oxycalorific coefficient (J/g O2), default 13560
confidence_level	Confidence level for intervals, default 0.95
sample_size	Sample size for each bootstrap iteration (NULL = same as original)
compute_percentiles	Whether to compute additional percentiles, default TRUE
parallel	Whether to use parallel processing, default FALSE
n_cores	Number of cores for parallel processing (NULL = auto-detect)
verbose	Whether to show progress messages, default FALSE
store_predicted_weights	Whether to store predicted final weights, default TRUE

Value

List with bootstrap fitting results including consumption and predicted weights

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