BTSPAS: Bayesian Time-Strat. Population Analysis

BTSPAS 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. This version uses JAGS to sample from the posterior distribution.

Version: 2014.0901
Imports: coda, splines, actuar, rjags, R2OpenBUGS, ggplot2, plyr
Suggests: BRugs
Published: 2014-08-26
Author: Carl J Schwarz and Simon J Bonner
Maintainer: Carl J Schwarz <cschwarz at stat.sfu.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.stat.sfu.ca/~cschwarz/Consulting/Trinity/Phase2
NeedsCompilation: no
SystemRequirements: JAGS
Citation: BTSPAS citation info
Materials: README NEWS
CRAN checks: BTSPAS results

Downloads:

Reference manual: BTSPAS.pdf
Package source: BTSPAS_2014.0901.tar.gz
Windows binaries: r-devel: BTSPAS_2014.0901.zip, r-release: BTSPAS_2014.0901.zip, r-oldrel: BTSPAS_2014.0901.zip
OS X Snow Leopard binaries: r-release: BTSPAS_2014.0901.tgz, r-oldrel: BTSPAS_2014.0901.tgz
OS X Mavericks binaries: r-release: not available
Old sources: BTSPAS archive