as.mcmc.list.tidy_steady_states

Convert a <code>tidy_steady_states</code> object to an <code>mcmc.list</code>

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

as.mcmc.list.tidy_steady_states function

<dl><dt>x</dt>
<dd>A tidy steady states object, as returned by
<code>tidy_steady_states</code>. Note that all chains must have the
same iterations extracted (i.e. you must use <code>n_per_chain</code> when
calling <code>tidy_flows</code>).</dd>
<dt>...</dt>
<dd>Not used for now.</dd></dl>

Arguments

Convert a tidy_steady_states object to an mcmc.list — as.mcmc.list.tidy_steady_states

<dl>

<dt>x</dt>
<dd>A tidy steady states object, as returned by
<code>tidy_steady_states</code>. Note that all chains must have the
same iterations extracted (i.e. you must use <code>n_per_chain</code> when
calling <code>tidy_flows</code>).</dd>


<dt>...</dt>
<dd>Not used for now.</dd>

</dl>

as.mcmc.list.tidy_steady_states: Convert a `tidy_steady_states` object to an `mcmc.list`

Description

Usage

Value

Arguments