BTSPAS (2020.1.1)

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Bayesian Time-Stratified Population Analysis.

http://www.stat.sfu.ca/~cschwarz/Consulting/Trinity/Phase2
http://cran.r-project.org/web/packages/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.

Maintainer: Carl James Schwarz
Author(s): Carl J Schwarz <cschwarz.stat.sfu.ca@gmail.com> and Simon J Bonner <sbonner6@uwo.ca>

License: GPL (>= 2)

Uses: actuar, coda, data.table, ggforce, ggplot2, gridExtra, plyr, R2jags, reshape2, R.rsp

Released about 1 month ago.


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