doi:10.48550/arXiv.2104.14091>. The estimator is doubly robust against errors in the estimation of the intermediate nuisance parameters. Users can choose from the flexible estimation models provided in the package, or use any other preferred model.">

drpop: Efficient and Doubly Robust Population Size Estimation (original) (raw)

Estimation of the total population size from capture-recapture data efficiently and with low bias implementing the methods from Das M, Kennedy EH, and Jewell NP (2021) <doi:10.48550/arXiv.2104.14091>. The estimator is doubly robust against errors in the estimation of the intermediate nuisance parameters. Users can choose from the flexible estimation models provided in the package, or use any other preferred model.

Version: 0.0.3
Depends: stats
Imports: gam, janitor, reshape2, stringr, tidyr, dplyr, SuperLearner, ggplot2, nnet, nnls, parallel, ranger
Suggests: testthat (≥ 2.0.0)
Published: 2021-11-05
DOI: 10.32614/CRAN.package.drpop
Author: Manjari Das ORCID iD [aut, cre], Edward H. Kennedy ORCID iD [aut]
Maintainer: Manjari Das
License: GPL-3
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: drpop results

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