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binGroup  

Evaluation and Experimental Design for Binomial Group Testing
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", "2.2-1")



Attach the package and use:
library("binGroup")
Maintained by
Frank Schaarschmidt
[Scholar Profile | Author Map]
First Published: 2007-02-11
Latest Update: 2018-08-24
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 2.2-1, https://cran.r-project.org/web/packages/binGroup. Accessed 07 May. 2025.
Previous versions and publish date:
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)
Other packages that cited binGroup R package
View binGroup citation profile
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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