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 specimens in group testing designs: methods for identification of positive specimens in a number of group testing algorithms. Hierarchical and array-based algorithms are implemented and used to find the optimal testing configuration and calculate operating characteristics for testing configurations across a wide variety of situations.

Version: 2.1-1
Imports: graphics, partitions, stats, utils
Published: 2018-03-16
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

Downloads:

Reference manual: binGroup.pdf
Package source: binGroup_2.1-1.tar.gz
Windows binaries: r-devel: binGroup_2.1-1.zip, r-release: binGroup_2.1-1.zip, r-oldrel: binGroup_2.1-1.zip
OS X binaries: r-release: binGroup_2.1-1.tgz, r-oldrel: binGroup_2.1-1.tgz
Old sources: binGroup archive

Reverse dependencies:

Reverse suggests: broom

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