binary_search_p_value

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

internal

An implementation of the 'Fish Bioenergetics 4.0' framework
described in Deslauriers et al. (2017)
<doi:10.1080/03632415.2017.1377558>. Provides automated parameter
optimization, multi-prey diet modeling, and comprehensive energy budget
simulations for fisheries research and aquaculture applications. An
optional 'TMB' (Template Model Builder) backend delivers 10-50x speedup
in maximum likelihood estimation while maintaining full backward
compatibility. Includes species-specific parameter databases and tools
for modeling fish growth, consumption, and metabolism under varying
environmental conditions.

Hans Ttito

fb4package

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

binary_search_p_value function

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

Arguments

Binary search for optimal p_value — binary_search_p_value

<dl>

<dt>target_value</dt>
<dd>Target value (final weight or total consumption)</dd>


<dt>fit_type</dt>
<dd>Type of fitting ("weight" or "consumption")</dd>


<dt>lower_bound</dt>
<dd>Lower bound for p_value search</dd>


<dt>upper_bound</dt>
<dd>Upper bound for p_value search</dd>


<dt>simulation_function</dt>
<dd>Function that runs simulation and returns metric</dd>


<dt>tolerance</dt>
<dd>Tolerance for convergence</dd>


<dt>max_iterations</dt>
<dd>Maximum number of iterations</dd>

</dl>

binary_search_p_value: Binary search for optimal p_value

Description

Usage

Value

Arguments