one_source_priors

Create priors for one source trophic position model derived from
<a href="https://esajournals.onlinelibrary.wiley.com/doi/full/10.1890/0012-9658%282002%29083%5B0703%3AUSITET%5D2.0.CO%3B2">Post 2002</a>.

Bayesian trophic position models using 'stan' by leveraging 'brms' for
stable isotope data. Trophic position models are derived by using
equations from
Post (2002) <doi:10.1890/0012-9658(2002)083[0703:USITET]2.0.CO;2>,
Vander Zanden and Vadeboncoeur (2002) <doi:10.1890/0012-9658(2002)083[2152:FAIOBA]2.0.CO;2>,
and
Heuvel et al. (2024) <doi:10.1139/cjfas-2024-0028>.

Benjamin Hlina

trps

Bayesian Trophic Position Models using 'stan'

Benjamin L. Hlina

one_source_priors function

<dl><dt>bp</dt>
<dd>logical value that controls whether informed priors are
supplied to the model for \(\delta^{15}\)N baseline. Default is
<code>FALSE</code> meaning the model will use uninformed priors, however, the supplied
<code>data.frame</code> needs values for \(\delta^{15}\)N baseline (<code>n1</code>).</dd></dl>

Arguments

Create priors for one source trophic position model derived from
<a href='https://esajournals.onlinelibrary.wiley.com/doi/full/10.1890/0012-9658%282002%29083%5B0703%3AUSITET%5D2.0.CO%3B2'>Post 2002</a>.

Bayesian priors - One Source Trophic Position — one_source_priors

<dl>

<dt>bp</dt>
<dd>logical value that controls whether informed priors are
supplied to the model for \(\delta^{15}\)N baseline. Default is
<code>FALSE</code> meaning the model will use uninformed priors, however, the supplied
<code>data.frame</code> needs values for \(\delta^{15}\)N baseline (<code>n1</code>).</dd>

</dl>

one_source_priors: Bayesian priors - One Source Trophic Position

Description

Usage

Value

Arguments

See Also

Examples