priors

Return the tibble containing the priors of a networkModel

Implements Bayesian models to analyze data from tracer addition
experiments. The implemented method was originally described in the article
"A New Method to Reconstruct Quantitative Food Webs and Nutrient Flows from
Isotope Tracer Addition Experiments" by López-Sepulcre et al. (2020)
<doi:10.1086/708546>.

Mattieu Bruneaux

isotracer

Isotopic Tracer Analysis Using MCMC

Andrés López-Sepulcre

Matthieu Bruneaux

priors function

<dl><dt>nm</dt>
<dd>A <code>networkModel</code> object.</dd>
<dt>fix_set_params</dt>
<dd>If TRUE, parameters for which a value is set are given a
fixed value (i.e. their prior is equivalent to a point value).</dd>
<dt>quiet</dt>
<dd>Boolean to control verbosity.</dd></dl>

Arguments

Return the tibble containing the priors of a networkModel — priors

<dl>

<dt>nm</dt>
<dd>A <code>networkModel</code> object.</dd>


<dt>fix_set_params</dt>
<dd>If TRUE, parameters for which a value is set are given a
fixed value (i.e. their prior is equivalent to a point value).</dd>


<dt>quiet</dt>
<dd>Boolean to control verbosity.</dd>

</dl>

priors: Return the tibble containing the priors of a networkModel

Description

Usage

Value

Arguments

Examples