normal_p

Define a truncated normal prior (on [0;+Inf])

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

normal_p function

<dl><dt>mean</dt>
<dd>Mean of the untruncated normal.</dd>
<dt>sd</dt>
<dd>Standard deviation of the untruncated normal.</dd></dl>

Arguments

Define a truncated normal prior (on [0;+Inf]) — normal_p

<dl>

<dt>mean</dt>
<dd>Mean of the untruncated normal.</dd>


<dt>sd</dt>
<dd>Standard deviation of the untruncated normal.</dd>

</dl>

normal_p: Define a truncated normal prior (on [0;+Inf])

Description

Usage

Value

Arguments

Examples