cschwarz-stat-sfu-ca/BTSPAS: Bayesian Time-Stratified Population Analysis
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>.
Getting started
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Package details |
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| Maintainer | |
| License | GPL (>=2) |
| Version | 2024.11.1 |
| URL | https://github.com/cschwarz-stat-sfu-ca/BTSPAS |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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