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Petersen: Estimators for Two-Sample Capture-Recapture Studies

A comprehensive implementation of Petersen-type estimators and its many variants for two-sample capture-recapture studies. A conditional likelihood approach is used that allows for tag loss; non reporting of tags; reward tags; categorical, geographical and temporal stratification; partial stratification; reverse capture-recapture; and continuous variables in modeling the probability of capture. Many examples from fisheries management are presented.

Version:2025.3.1
Depends:R (≥ 2.10)
Imports:AICcmodavg,bbmle,BTSPAS,checkmate,formula.tools,ggplot2,MASS,Matrix,msm,numDeriv,plyr,reshape2,rlang,SPAS, stats,stringr,tidyr, utils
Suggests:knitr,rmarkdown,R.rsp
Published:2025-02-24
DOI:10.32614/CRAN.package.Petersen
Author:Carl Schwarz [aut, cre]
Maintainer:Carl Schwarz <cschwarz.stat.sfu.ca at gmail.com>
BugReports:https://github.com/cschwarz-stat-sfu-ca/Petersen/issues
License:GPL-2
URL:https://github.com/cschwarz-stat-sfu-ca/Petersen
NeedsCompilation:no
Citation:Petersen citation info
Materials:README,NEWS
CRAN checks:Petersen results

Documentation:

Reference manual:Petersen.html ,Petersen.pdf
Vignettes:PackageDocumentation (source,R code)

Downloads:

Package source: Petersen_2025.3.1.tar.gz
Windows binaries: r-devel:Petersen_2025.3.1.zip, r-release:Petersen_2025.3.1.zip, r-oldrel:Petersen_2025.3.1.zip
macOS binaries: r-release (arm64):Petersen_2025.3.1.tgz, r-oldrel (arm64):Petersen_2025.3.1.tgz, r-release (x86_64):Petersen_2025.3.1.tgz, r-oldrel (x86_64):Petersen_2025.3.1.tgz
Old sources: Petersen archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=Petersento link to this page.


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