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 |
| 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 Mavericks binaries: | r-release: BTSPAS_2014.0901.tgz, r-oldrel: BTSPAS_2014.0901.tgz |
| Old sources: | BTSPAS archive |
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