calculate_confidence_intervals

Computes a symmetric confidence interval given a point estimate and
its standard error. Returns <code>NA</code> bounds when either input is <code>NA</code>.

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

calculate_confidence_intervals function

<dl><dt>estimate</dt>
<dd>Numeric point estimate (scalar or vector)</dd>
<dt>se</dt>
<dd>Standard error of the estimate</dd>
<dt>confidence_level</dt>
<dd>Confidence level in (0, 1), default 0.95</dd>
<dt>method</dt>
<dd><code>"normal"</code> (default) for symmetric normal-theory interval;
<code>"log-normal"</code> for a delta-method interval on the log scale
(requires <code>estimate &gt; 0</code>)</dd></dl>

Arguments

Confidence interval from estimate and standard error — calculate_confidence_intervals

<dl>

<dt>estimate</dt>
<dd>Numeric point estimate (scalar or vector)</dd>


<dt>se</dt>
<dd>Standard error of the estimate</dd>


<dt>confidence_level</dt>
<dd>Confidence level in (0, 1), default 0.95</dd>


<dt>method</dt>
<dd><code>"normal"</code> (default) for symmetric normal-theory interval;
<code>"log-normal"</code> for a delta-method interval on the log scale
(requires <code>estimate &gt; 0</code>)</dd>

</dl>

calculate_confidence_intervals: Confidence interval from estimate and standard error

Description

Usage

Value

Arguments

Examples