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BTSPAS  

Bayesian Time-Stratified Population Analysis
View on CRAN: Click here


Download and install BTSPAS package within the R console
Install from CRAN:
install.packages("BTSPAS")

Install from Github:
library("remotes")
install_github("cran/BTSPAS")

Install by package version:
library("remotes")
install_version("BTSPAS", "2024.11.1")



Attach the package and use:
library("BTSPAS")
Maintained by
Carl J Schwarz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-02-11
Latest Update: 2024-10-23
Description:
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) .
How to cite:
Carl J Schwarz (2010). BTSPAS: Bayesian Time-Stratified Population Analysis. R package version 2024.11.1, https://cran.r-project.org/web/packages/BTSPAS. Accessed 06 Mar. 2026.
Previous versions and publish date:
1.0.01 (2010-02-11 20:47), 1.0.03 (2010-04-10 08:32), 2010.04 (2010-05-27 08:55), 2010.09 (2010-11-03 08:32), 2010.12 (2010-12-12 10:09), 2011.06 (2011-06-09 07:59), 2012.01 (2012-01-12 22:05), 2012.0216 (2012-02-20 07:31), 2012.0217 (2013-01-25 07:41), 2012.0219 (2013-05-14 06:42), 2014.0901 (2014-08-26 07:51), 2020.1.1 (2019-12-04 23:20), 2020.9.1 (2020-09-05 08:00), 2021.1.1 (2020-12-16 11:40), 2021.11.1 (2021-10-11 09:30), 2021.11.2 (2021-10-25 09:00), 2024.4.1 (2024-03-16 04:50), 2024.5.9 (2024-05-11 00:03)
Other packages that cited BTSPAS R package
View BTSPAS citation profile
Other R packages that BTSPAS depends, imports, suggests or enhances
Complete documentation for BTSPAS
Functions, R codes and Examples using the BTSPAS R package
Some associated functions: PredictivePosterior.TSPDE . RunTime . SimplePetersen . TimeStratPetersenDiagErrorWHChinook_fit . TimeStratPetersenDiagErrorWHSteel_fit . TimeStratPetersenDiagError_fit . TimeStratPetersenNonDiagErrorNPMarkAvail_fit . TimeStratPetersenNonDiagErrorNP_fit . TimeStratPetersenNonDiagError_fit . TimeToTargetRunSize . dot-onAttach . logit . plot_acf . plot_posterior . plot_trace . 
Some associated R codes: PredictivePosteriorPlot_TSPDE.R . PredictivePosteriorPlot_TSPDE_WHChinook.R . PredictivePosteriorPlot_TSPDE_WHSteel.R . PredictivePosteriorPlot_TSPNDE.R . PredictivePosterior_TSPDE.R . PredictivePosterior_TSPDE_WHChinook.R . PredictivePosterior_TSPDE_WHSteel.R . PredictivePosterior_TSPNDE.R . PredictivePosterior_TSPNDENP.R . PredictivePosterior_TSPNDENPMarkAvail.R . RunTime.R . SimplePetersen.R . TimeStratPetersenDiagError.R . TimeStratPetersenDiagErrorWHChinook.R . TimeStratPetersenDiagErrorWHChinook2.R . TimeStratPetersenDiagErrorWHChinook2_fit.R . TimeStratPetersenDiagErrorWHChinook_fit.R . TimeStratPetersenDiagErrorWHSteel.R . TimeStratPetersenDiagErrorWHSteel_fit.R . TimeStratPetersenDiagError_fit.R . TimeStratPetersenNonDiagError.R . TimeStratPetersenNonDiagErrorNP.R . TimeStratPetersenNonDiagErrorNPMarkAvail.R . TimeStratPetersenNonDiagErrorNPMarkAvail_fit.R . TimeStratPetersenNonDiagErrorNP_fit.R . TimeStratPetersenNonDiagError_fit.R . initial_values.R . logit.R . plot_acf.R . plot_logit.R . plot_posterior.R . plot_trace.R . prior.muTT.functions.R . run_jags.R . zzz.R .  Full BTSPAS package functions and examples
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