filter.ppcNetworkModel

Filter method for output of tidy_data_and_posterior_predict()

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

filter.ppcNetworkModel function

<dl><dt>.data</dt>
<dd>A ppcNetworkModel object.</dd>
<dt>...</dt>
<dd>Passed to dplyr::filter.</dd>
<dt>.preserve</dt>
<dd>Ignored.</dd></dl>

Arguments

Filter method for output of tidy_data_and_posterior_predict() — filter.ppcNetworkModel

<dl>

<dt>.data</dt>
<dd>A ppcNetworkModel object.</dd>


<dt>...</dt>
<dd>Passed to dplyr::filter.</dd>


<dt>.preserve</dt>
<dd>Ignored.</dd>

</dl>

filter.ppcNetworkModel: Filter method for output of tidy_data_and_posterior_predict()

Description

Usage

Value

Arguments