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.
- Version0.0.5
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release07/12/2025
Documentation
Team
Madleina Caduff
MaintainerShow author detailsDaniel Wegmann
Show author detailsRolesAuthorAndreas Füglistaler
Show author detailsRolesContributorRaphael Eckel
Show author detailsRolesContributorLiam Singer
Show author detailsRolesAuthor
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