identify_best_scenarios

Identifies the best performing scenario for each metric.

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

identify_best_scenarios function

<dl><dt>scenario_data</dt>
<dd>Data frame with scenario results</dd>
<dt>metrics</dt>
<dd>Vector of metrics to evaluate</dd></dl>

Arguments

Identify best performing scenarios — identify_best_scenarios

<dl>

<dt>scenario_data</dt>
<dd>Data frame with scenario results</dd>


<dt>metrics</dt>
<dd>Vector of metrics to evaluate</dd>

</dl>

identify_best_scenarios: Identify best performing scenarios

Description

Usage

Value

Arguments