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:	2024.6.1
Depends:	R (≥ 2.10)
Imports:	AICcmodavg, bbmle, BTSPAS, formula.tools, ggplot2, MASS, Matrix, msm, numDeriv, plyr, reshape2, rlang, SPAS, stats, stringr, tidyr, utils
Suggests:	knitr, rmarkdown, R.rsp
Published:	2024-05-31
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.pdf
Vignettes:	PackageDocumentation

Downloads:

Package source:	Petersen_2024.6.1.tar.gz
Windows binaries:	r-devel: Petersen_2024.6.1.zip, r-release: Petersen_2024.6.1.zip, r-oldrel: Petersen_2024.6.1.zip
macOS binaries:	r-release (arm64): Petersen_2024.6.1.tgz, r-oldrel (arm64): Petersen_2024.6.1.tgz, r-release (x86_64): Petersen_2024.6.1.tgz, r-oldrel (x86_64): Petersen_2024.6.1.tgz
Old sources:	Petersen archive

Linking:

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