extBatchMarking: Extended Batch Marking Models

A system for batch-marking data analysis to estimate survival probabilities, capture probabilities, and enumerate the population abundance for both marked and unmarked individuals. The estimation of only marked individuals can be achieved through the batchMarkOptim() function. Similarly, the combined marked and unmarked can be achieved through the batchMarkUnmarkOptim() function. The algorithm was also implemented for the hidden Markov model encapsulated in batchMarkUnmarkOptim() to estimate the abundance of both marked and unmarked individuals in the population. The package is based on the paper: "Hidden Markov Models for Extended Batch Data" of Cowen et al. (2017) <doi:10.1111/biom.12701>.

Version: 1.0.1
Depends: R (≥ 4.0)
Imports: doParallel, foreach, optimbase, Rcpp, parallel
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (≥ 3.0.0), knitr
Published: 2024-01-10
DOI: 10.32614/CRAN.package.extBatchMarking
Author: Kehinde Olobatuyi ORCID iD [aut, cre], Simon Johns [aut], Matthew RP Parker ORCID iD [aut], Steve Hof [aut], Laura LE Cowen ORCID iD [aut]
Maintainer: Kehinde Olobatuyi <olobatuyikenny at uvic.ca>
BugReports: https://github.com/Olobatuyi/extBatchMarking/issues
License: AGPL (≥ 3)
URL: https://github.com/Olobatuyi/extBatchMarking
NeedsCompilation: yes
Materials: README
CRAN checks: extBatchMarking results


Reference manual: extBatchMarking.pdf


Package source: extBatchMarking_1.0.1.tar.gz
Windows binaries: r-devel: extBatchMarking_1.0.1.zip, r-release: extBatchMarking_1.0.1.zip, r-oldrel: extBatchMarking_1.0.1.zip
macOS binaries: r-release (arm64): extBatchMarking_1.0.1.tgz, r-oldrel (arm64): extBatchMarking_1.0.1.tgz, r-release (x86_64): extBatchMarking_1.0.1.tgz, r-oldrel (x86_64): extBatchMarking_1.0.1.tgz
Old sources: extBatchMarking archive


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