plot_mcmc

Visualizes the MCMC trace plots and posterior densities of the gamma parameters from a <code>birp</code> object.

A Bayesian tool to test for population trends and changes in trends under arbitrary designs, including before-after (BA), control-intervention (CI) and before-after-control-intervention (BACI) designs commonly used to assess conservation impact. It infers changes in trends jointly from data obtained with multiple survey methods, as well as from limited and noisy data not necessarily collected in standardized ecological surveys. Observed counts can be modeled as following either a Poisson or a negative binomial model, and both deterministic and stochastic trend models are available. For more details on the model see Singer et al. (2025) <doi:10.1101/2025.01.08.631844>, and the file 'AUTHORS' for a list of copyright holders and contributors.

Madleina Caduff

birp

Testing for Population Trends Using Low-Cost Ecological Count
Data

Daniel Wegmann

Liam Singer

Raphael Eckel

Andreas Füglistaler

plot_mcmc function

<dl><dt>x</dt>
<dd>A <code>birp</code> object containing posterior samples.</dd>
<dt>col</dt>
<dd>Character vector; Colors for trace and density plots. Default is c("black", "blue").</dd></dl>

Arguments

Plot MCMC Traces and Posterior Densities — plot_mcmc

<dl>

<dt>x</dt>
<dd>A <code>birp</code> object containing posterior samples.</dd>


<dt>col</dt>
<dd>Character vector; Colors for trace and density plots. Default is c("black", "blue").</dd>

</dl>

plot_mcmc: Plot MCMC Traces and Posterior Densities

Description

Usage

Value

Arguments

See Also

Examples