Package: BTSPAS
Version: 2026.3.1
Date: 2026-03-01
Title: Bayesian Time-Stratified Population Analysis
Authors@R: c(person(given = c("Carl", "J"),
                      family = "Schwarz",
                      role = c("aut", "cre"),
                      email = "cschwarz.stat.sfu.ca@gmail.com"),
               person(given = c("Simon", "J"),
                      family = "Bonner",
                      role = "aut",
                      email = "sbonner6@uwo.ca"))
Imports: actuar, checkmate, coda, data.table, ggplot2, ggforce,
        graphics, grDevices, gridExtra, plyr, reshape2, R2jags, scales,
        splines, stats, utils
SystemRequirements: JAGS
Description: 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>.
License: GPL (>=2)
URL: https://github.com/cschwarz-stat-sfu-ca/BTSPAS
RoxygenNote: 7.3.3
Suggests: R.rsp
VignetteBuilder: R.rsp
Config/pak/sysreqs: libfontconfig1-dev libfreetype6-dev jags libicu-dev
Repository: https://cschwarz-stat-sfu-ca.r-universe.dev
Date/Publication: 2026-02-19 19:46:22 UTC
RemoteUrl: https://github.com/cschwarz-stat-sfu-ca/btspas
RemoteRef: HEAD
RemoteSha: db6eaa3aa923bf9316d430ff64a4206dd7bcb85a
NeedsCompilation: no
Packaged: 2026-06-19 08:34:33 UTC; root
Author: Carl J Schwarz [aut, cre],
  Simon J Bonner [aut]
Maintainer: Carl J Schwarz <cschwarz.stat.sfu.ca@gmail.com>