print.birp_data

Print a birp_data object
Prints a summary of a <code>birp_data</code> object, including the number of methods, locations, control-intervention (CI) groups, and timepoints, as well as the names or identifiers for each.

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

print.birp_data function

<dl><dt>x</dt>
<dd>A <code>birp_data</code> object to be printed.</dd>
<dt>...</dt>
<dd>Additional arguments passed to function.</dd></dl>

Arguments

Print a birp_data object
Prints a summary of a birp_data object, including the number of methods, locations, control-intervention (CI) groups, and timepoints, as well as the names or identifiers for each. — print.birp_data

<dl>

<dt>x</dt>
<dd>A <code>birp_data</code> object to be printed.</dd>


<dt>...</dt>
<dd>Additional arguments passed to function.</dd>

</dl>

Print a birp_data object
Prints a summary of a <code>birp_data</code> object, including the number of methods, locations, control-intervention (CI) groups, and timepoints, as well as the names or identifiers for each.

print.birp_data: Print a birp_data object Prints a summary of a `birp_data` object, including the number of methods, locations, control-intervention (CI) groups, and timepoints, as well as the names or identifiers for each.

Description

Usage

Value

Arguments

Examples