scaled_beta_p

If a random variable X follows a scaled beta distribution with parameters
(alpha, beta, scale), then X/scale follows a beta distribution with
parameters (alpha, beta).

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

scaled_beta_p function

<dl><dt>alpha</dt>
<dd>Alpha parameter of the unscaled beta distribution.</dd>
<dt>beta</dt>
<dd>Beta parameter of the unscaled beta distribution.</dd>
<dt>scale</dt>
<dd>The upper boundary of the prior.</dd></dl>

Arguments

Define a beta prior (on [0;scale]) — scaled_beta_p

<dl>

<dt>alpha</dt>
<dd>Alpha parameter of the unscaled beta distribution.</dd>


<dt>beta</dt>
<dd>Beta parameter of the unscaled beta distribution.</dd>


<dt>scale</dt>
<dd>The upper boundary of the prior.</dd>

</dl>

scaled_beta_p: Define a beta prior (on [0;scale])

Description

Usage

Value

Arguments

Examples