Other packages > Find by keyword >

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", "2.2-3")



Attach the package and use:
library("binGroup")
Maintained by
Frank Schaarschmidt
[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 07 Aug. 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)
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
bbricks  
Bayesian Methods and Graphical Model Structures for Statistical Modeling
A set of frequently used Bayesian parametric and nonparametric model structures, as well as a set of ...
Download / Learn more Package Citations See dependency  
BayesESS  
Determining Effective Sample Size
Determines effective sample size of a parametric prior distribution in Bayesian models. For a web-b ...
Download / Learn more Package Citations See dependency  
enrichwith  
Methods to Enrich R Objects with Extra Components
Provides the "enrich" method to enrich list-like R objects with new, relevant components. The curren ...
Download / Learn more Package Citations See dependency  
modelwordcloud  
Model Word Clouds
Makes a word cloud of text, sized by the frequency of the word, and colored either by user-specified ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA