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binGroup
View on CRAN: Click
here
Download and install binGroup package within the R console
Install from CRAN:
install.packages("binGroup")
Install from Github:
library("remotes")
install_github("cran/binGroup") Install by package version:
library("remotes")
install_version("binGroup", "2.2-3") Attach the package and use:
library("binGroup")
Maintained by
Frank Schaarschmidt
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2007-02-11
Latest Update: 2025-05-14
Description:
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.
How to cite:
Frank Schaarschmidt (2007). binGroup: Evaluation and Experimental Design for Binomial Group Testing. R package version 2.2-3, https://cran.r-project.org/web/packages/binGroup. Accessed 08 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:21), 0.3-1 (2007-02-11 13:41), 0.3-2 (2008-07-15 17:47), 1.0-3 (2009-10-27 20:17), 1.0-4 (2010-01-06 16:31), 1.0-5 (2010-06-10 16:05), 1.0-6 (2010-07-24 22:09), 1.0-7 (2010-09-19 19:37), 1.0-8 (2011-01-04 17:57), 1.0-9 (2011-12-21 18:46), 1.0-10 (2012-07-18 15:50), 1.1-0 (2012-08-14 15:01), 2.1-0 (2018-03-13 10:16), 2.1-1 (2018-03-16 18:24), 2.2-1 (2018-08-24 13:24)
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Other R packages that binGroup depends,
imports, suggests or enhances
Complete documentation for binGroup
Functions, R codes and Examples using
the binGroup R package
Some associated functions: Array.Measures . Inf.Array . Inf.D3 . Inf.Dorf . Informative.array.prob . MasterPool.Array.Measures . NI.A2M . NI.Array . NI.D3 . NI.Dorf . OTC . accuracy.dorf . beta.dist . bgtCI . bgtPower . bgtTest . bgtWidth . bgtvs . binCI . binDesign . binGroup-package . binPower . binTest . binWidth . characteristics.pool . estDesign . gt.control . gtreg.halving . gtreg.mp . gtreg . hierarchical.desc2 . hivsurv . inf.dorf.measures . nDesign . opt.info.dorf . opt.pool.size . p.vec.func . plot.bgtDesign . plot.binDesign . plot.poolbin . pool.specific.dorf . pooledBin . pooledBinDiff . predict.gt . print.bgt . print.bgtDesign . print.binDesign . print.gt . print.poolbindiff . print.summary.gt.mp . residuals.gt . sDesign . sim.gt . sim.halving . sim.mp . summary.gt.mp . summary.gt . summary.poolbindiff . thresh.val.dorf .
Some associated R codes: Array.Functions.R . Dorfman.Functions.R . Hierarchical.Functions.R . Inf.Array.R . Inf.D3.R . Inf.Dorf.R . NI.A2M.R . NI.Array.R . NI.D3.R . NI.Dorf.R . OTC.R . bgtCI.R . bgtPower.R . bgtTest.R . bgtWidth.R . bgtvs.R . binCI.R . binDesign.R . binGroup-internal.R . binPower.R . binTest.R . binWidth.R . estDesign.R . msep.R . nDesign.R . plot.binDesign.R . plot.nDesign.R . plot.sDesign.R . print.bgtCI.R . print.bgtTest.R . print.binDesign.R . print.nDesign.R . print.sDesign.R . sDesign.R . Full binGroup package functions and examples
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