binGroup: Evaluation and Experimental Design for Binomial Group Testing

Methods for estimation and hypothesis testing of proportions in group testing designs: methods for estimating a proportion in a single population (assuming sensitivity and specificity equal to 1 in designs with equal group sizes), as well as hypothesis tests and functions for experimental design for this situation. For estimating one proportion or the difference of proportions, a number of confidence interval methods are included, which can deal with various different pool sizes. Further, regression methods are implemented for simple pooling and matrix pooling designs. Methods for identification of positive items in group testing designs: Optimal testing configurations can be found for hierarchical and array-based algorithms. Operating characteristics can be calculated for testing configurations across a wide variety of situations.

Version:	2.2-3
Imports:	graphics, partitions, Rdpack, stats, utils
Published:	2025-05-14
DOI:	10.32614/CRAN.package.binGroup
Author:	Boan Zhang [aut], Christopher Bilder [aut], Brad Biggerstaff [aut], Frank Schaarschmidt [aut, cre], Brianna Hitt [aut]
Maintainer:	Frank Schaarschmidt <schaarschmidt at biostat.uni-hannover.de>
License:	GPL (≥ 3)
NeedsCompilation:	no
CRAN checks:	binGroup results

Documentation:

Reference manual:

binGroup.html , binGroup.pdf

Downloads:

Package source:	binGroup_2.2-3.tar.gz
Windows binaries:	r-devel: binGroup_2.2-3.zip, r-release: binGroup_2.2-3.zip, r-oldrel: binGroup_2.2-3.zip
macOS binaries:	r-release (arm64): binGroup_2.2-3.tgz, r-oldrel (arm64): binGroup_2.2-3.tgz, r-release (x86_64): binGroup_2.2-3.tgz, r-oldrel (x86_64): binGroup_2.2-3.tgz
Old sources:	binGroup archive

Reverse dependencies:

Reverse imports:	blindspiker
Reverse suggests:	broom

Linking:

Please use the canonical form https://CRAN.R-project.org/package=binGroup to link to this page.