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.
It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.
2020.9.1 by Carl J Schwarz, 25 days ago
https://github.com/cschwarz-stat-sfu-ca/BTSPAS
Browse source code at https://github.com/cran/BTSPAS
Authors: Carl J Schwarz <[email protected]> and Simon J Bonner <[email protected]>
Documentation: PDF Manual
GPL (>= 2) license
Imports actuar, coda, data.table, ggplot2, ggforce, graphics, grDevices, gridExtra, plyr, reshape2, R2jags, scales, splines, stats, utils
Suggests R.rsp
System requirements: JAGS
See at CRAN