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 |