strategy-optim

Implements the <code>"optim"</code> FB4 fitting strategy, which uses R's
<code><a href="/link/optim?package=fb4package&version=2.0.0" data-mini-rdoc="fb4package::optim">optim</a></code> function to find the proportion of maximum
consumption (p-value) that minimises the difference between a
simulated metric and a user-supplied target. Supported fitting targets
are <code>"Weight"</code> and <code>"Consumption"</code>. The strategy is instantiated
by <code>create_optim_strategy</code>; the optimisation algorithm is in
<code>optim_search_p_value</code>, coordinated by <code>fit_fb4_optim</code>.

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

strategy-optim function

Implements the <code>"optim"</code> FB4 fitting strategy, which uses R's
<code><a href='https://rdrr.io/r/stats/optim.html'>optim</a></code> function to find the proportion of maximum
consumption (p-value) that minimises the difference between a
simulated metric and a user-supplied target. Supported fitting targets
are <code>"Weight"</code> and <code>"Consumption"</code>. The strategy is instantiated
by <code>create_optim_strategy</code>; the optimisation algorithm is in
<code>optim_search_p_value</code>, coordinated by <code>fit_fb4_optim</code>.

strategy-optim: Optimisation Strategy for FB4 Model

Description

Arguments

Value

References