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birp: Testing for Population Trends Using Low-Cost Ecological Count Data

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.

Version: 0.0.3
Imports: Rcpp (≥ 1.0.12), MASS
LinkingTo: Rcpp, RcppArmadillo
Published: 2025-05-16
DOI: 10.32614/CRAN.package.birp
Author: Madleina Caduff [aut, cre], Daniel Wegmann [aut], Liam Singer [aut], Raphael Eckel [ctb], Andreas Füglistaler [ctb]
birp author details
Maintainer: Madleina Caduff <madleina.caduff at unifr.ch>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://bitbucket.org/wegmannlab/birpr/wiki/Home
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: birp results [issues need fixing before 2025-05-30]

Documentation:

Reference manual: birp.pdf

Downloads:

Package source: birp_0.0.3.tar.gz
Windows binaries: r-devel: not available, r-release: birp_0.0.3.zip, r-oldrel: not available
macOS binaries: r-release (arm64): birp_0.0.3.tgz, r-oldrel (arm64): birp_0.0.3.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=birp to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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