optim_search_p_value: Optimization using optim() for optimal p_value

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

Optimization using optim() for optimal p_value

Description

Uses R's optim to find the p_value that minimises the absolute difference between the simulated metric and the target value.

Usage

optim_search_p_value(
  target_value,
  fit_type,
  simulation_function,
  method = "Brent",
  lower = 0.01,
  upper = 5,
  hessian = FALSE
)

Arguments

target_value	Target value (final weight or total consumption)
fit_type	Type of fitting ("weight" or "consumption")
simulation_function	Function that runs simulation and returns metric
method	Optimization method ("Brent", "L-BFGS-B", etc.)
lower	Lower bound for p_value search, default 0.01
upper	Upper bound for p_value search, default 5.0
hessian	Whether to compute Hessian for standard errors, default FALSE

Value

List with fitted p_value and convergence information

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