tidy_steady_states

If neither <code>n_per_chain</code> and <code>n</code> are provided, all iterations are
used.

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

tidy_steady_states function

<dl><dt>nm</dt>
<dd>A <code>networkModel</code> object.</dd>
<dt>mcmc</dt>
<dd>The corresponding output from <code>run_mcmc</code>.</dd>
<dt>n_per_chain</dt>
<dd>Integer, number of iterations randomly drawn per
chain. Note that iterations are in sync across chains (in practice,
random iterations are chosen, and then parameter values extracted for
those same iterations from all chains).</dd>
<dt>n</dt>
<dd>Integer, number of iterations randomly drawn from <code>mcmc</code>. Note
that iterations are *not* drawn in sync across chains in this case (use
<code>n_per_chain</code> if you need to have the same iterations taken across
all chains).</dd></dl>

Arguments

Build a tidy table with the calculated steady states for each iteration — tidy_steady_states

<dl>

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


<dt>mcmc</dt>
<dd>The corresponding output from <code>run_mcmc</code>.</dd>


<dt>n_per_chain</dt>
<dd>Integer, number of iterations randomly drawn per
chain. Note that iterations are in sync across chains (in practice,
random iterations are chosen, and then parameter values extracted for
those same iterations from all chains).</dd>


<dt>n</dt>
<dd>Integer, number of iterations randomly drawn from <code>mcmc</code>. Note
that iterations are *not* drawn in sync across chains in this case (use
<code>n_per_chain</code> if you need to have the same iterations taken across
all chains).</dd>

</dl>

tidy_steady_states: Build a tidy table with the calculated steady states for each iteration

Description

Usage

Value

Arguments

Details