binary_search_p_value: Binary search for optimal p_value

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

Binary search for optimal p_value

Description

Pure binary search algorithm for finding the p_value that achieves a target metric (final weight or total consumption).

Usage

binary_search_p_value(
  target_value,
  fit_type,
  lower_bound,
  upper_bound,
  simulation_function,
  tolerance = 0.001,
  max_iterations = 25
)

Arguments

target_value	Target value (final weight or total consumption)
fit_type	Type of fitting ("weight" or "consumption")
lower_bound	Lower bound for p_value search
upper_bound	Upper bound for p_value search
simulation_function	Function that runs simulation and returns metric
tolerance	Tolerance for convergence
max_iterations	Maximum number of iterations

Value

List with fitted p_value and convergence information

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