CRAN/E | BTSPAS

BTSPAS

Bayesian Time-Stratified Population Analysis

Installation

About

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.

Citation BTSPAS citation info
github.com/cschwarz-stat-sfu-ca/BTSPAS
System requirements JAGS

Key Metrics

Version 2024.4.1
Published 2024-03-16 39 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks BTSPAS results

Downloads

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Last 365 days 6.206 +2%

Maintainer

Maintainer

Carl J Schwarz

cschwarz.stat.sfu.ca@gmail.com

Authors

Carl J Schwarz andSimon J Bonner

Material

README
NEWS
Reference manual
Package source

Vignettes

01 Diagonal model
02 Diagonal model with multiple ages
03 Non-diagonal model
04 Non-diagonal with fall-back model
05 Bias from incomplete sampling
06 Interpolating run earlier and later

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

BTSPAS archive

Imports

actuar
coda
data.table
ggplot2
ggforce
graphics
grDevices
gridExtra
plyr
reshape2
R2jags
scales
splines
stats
utils

Suggests

R.rsp

Reverse Imports

Petersen