The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
| Package source: | BTSPAS_2024.11.1.tar.gz |
| Windows binaries: | r-devel: BTSPAS_2024.11.1.zip, r-release: BTSPAS_2024.11.1.zip, r-oldrel: BTSPAS_2024.11.1.zip |
| macOS binaries: | r-release (arm64): BTSPAS_2024.11.1.tgz, r-oldrel (arm64): BTSPAS_2024.11.1.tgz, r-release (x86_64): BTSPAS_2024.11.1.tgz, r-oldrel (x86_64): BTSPAS_2024.11.1.tgz |
| Old sources: | BTSPAS archive |
| Reverse imports: | Petersen |
Please use the canonical form https://CRAN.R-project.org/package=BTSPAS to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.