Package: BTSPAS
Version: 2024.11.1
Date: 2024-11-01
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, 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: 7.3.2
Suggests: R.rsp
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2026-10-26 07:30:11 UTC; root
Author: Carl J Schwarz [aut, cre], Simon J Bonner [aut]
Maintainer: Carl J Schwarz <cschwarz.stat.sfu.ca@gmail.com>
Config/pak/sysreqs: jags
Repository: https://cran.r-universe.dev
Date/Publication: 2024-10-23 22:20:07 UTC
RemoteUrl: https://github.com/cran/BTSPAS
RemoteRef: HEAD
RemoteSha: 81233b0b3469779bd6178568195cc3dfebc38870