# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "birp" in publications use:' type: software license: MPL-2.0 title: 'birp: Testing for Population Trends Using Low-Cost Ecological Count Data' version: 0.9.0 doi: 10.32614/CRAN.package.birp abstract: 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) , and the file 'AUTHORS' for a list of copyright holders and contributors. authors: - family-names: Caduff given-names: Madleina email: madleina.caduff@unifr.ch - family-names: Füglistaler given-names: Andreas email: andreas.fueglistaler@unifr.ch - family-names: Wegmann given-names: Daniel email: daniel.wegmann@unifr.ch - family-names: Singer given-names: Liam repository: https://cran.r-universe.dev repository-code: https://bitbucket.org/wegmannlab/birpr commit: 59bb0079bcb4eeeff34893155290e6b3dc5344f7 url: https://bitbucket.org/wegmannlab/birpr date-released: '2026-09-01' contact: - family-names: Füglistaler given-names: Andreas email: andreas.fueglistaler@unifr.ch