binGroup2: Identification and Estimation using Group Testing

Methods for the group testing identification problem: 1) Operating characteristics (e.g., expected number of tests) for commonly used hierarchical and array-based algorithms, and 2) Optimal testing configurations for these same algorithms. Methods for the group testing estimation problem: 1) Estimation and inference procedures for an overall prevalence, and 2) Regression modeling for commonly used hierarchical and array-based algorithms.

Version: 1.3.1
Imports: ggplot2, graphics, grDevices, partitions, rBeta2009, Rcpp (≥ 1.0.0), Rdpack, scales, stats, utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
Published: 2023-11-14
Author: Brianna Hitt ORCID iD [aut, cre], Christopher Bilder ORCID iD [aut], Frank Schaarschmidt ORCID iD [aut], Brad Biggerstaff ORCID iD [aut], Christopher McMahan ORCID iD [aut], Joshua Tebbs ORCID iD [aut], Boan Zhang [ctb], Michael Black [ctb], Peijie Hou [ctb], Peng Chen [ctb], Minh Nguyen [ctb]
Maintainer: Brianna Hitt <brianna.hitt at afacademy.af.edu>
License: GPL (≥ 3)
NeedsCompilation: yes
Materials: NEWS
CRAN checks: binGroup2 results

Documentation:

Reference manual: binGroup2.pdf
Vignettes: Identification-through-group-testing

Downloads:

Package source: binGroup2_1.3.1.tar.gz
Windows binaries: r-devel: binGroup2_1.3.1.zip, r-release: binGroup2_1.3.1.zip, r-oldrel: binGroup2_1.3.1.zip
macOS binaries: r-release (arm64): binGroup2_1.3.1.tgz, r-oldrel (arm64): binGroup2_1.3.1.tgz, r-release (x86_64): binGroup2_1.3.1.tgz
Old sources: binGroup2 archive

Linking:

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