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: 2023.12.1
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: 2023-11-12
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_2023.12.1.tar.gz
Windows binaries: r-prerel: Petersen_2023.12.1.zip, r-release: Petersen_2023.12.1.zip, r-oldrel: Petersen_2023.12.1.zip
macOS binaries: r-prerel (arm64): Petersen_2023.12.1.tgz, r-release (arm64): Petersen_2023.12.1.tgz, r-oldrel (arm64): Petersen_2023.12.1.tgz, r-prerel (x86_64): Petersen_2023.12.1.tgz, r-release (x86_64): Petersen_2023.12.1.tgz

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