Provides advanced Bayesian methods to estimate abundance and run-timing from temporally-stratified Petersen mark-recapture experiments. Methods include hierarchical modelling of the capture probabilities and spline smoothing of the daily run size. Theory described in Bonner and Schwarz (2011) <doi:10.1111/j.1541-0420.2011.01599.x>.
Version: 2024.11.1 Imports: actuar, coda, data.table, ggplot2, ggforce, graphics, grDevices, gridExtra, plyr, reshape2, R2jags, scales, splines, stats, utils Suggests: R.rsp Published: 2024-10-23 DOI: 10.32614/CRAN.package.BTSPAS Author: Carl J Schwarz [aut, cre], Simon J Bonner [aut] Maintainer: Carl J Schwarz <cschwarz.stat.sfu.ca at gmail.com> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/cschwarz-stat-sfu-ca/BTSPAS NeedsCompilation: no SystemRequirements: JAGS Citation: BTSPAS citation info Materials: README NEWS CRAN checks: BTSPAS results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=BTSPAS to link to this page.
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