Identification and Estimation using Group Testing

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Documentation for package ‘binGroup2’ version 1.3.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

binGroup2-package	binGroup2: Identification and Estimation using Group Testing
Accuracy	Extract the accuracy measures from group testing results
binGroup2	binGroup2: Identification and Estimation using Group Testing
coef.gtReg	Extract coefficients from a fitted group testing model
coefficients.gtReg	Extract coefficients from a fitted group testing model
CompareConfig	Compare group testing results
Config	Access the testing configurations returned from an object
Config.opChar	Extract the testing configuration from group testing results
Config.OTC	Extract the testing configuration from group testing results
designEst	Optimal group size determination based on minimal MSE when estimating an overall prevalence
designPower	Number of groups or group size needed to achieve a power level in one parameter group testing
expectOrderBeta	Determine a vector of probabilities for informative group testing algorithms
ExpTests	Access the expected number of tests from an object
ExpTests.halving	Extract the expected number of tests from testing configuration results
ExpTests.opChar	Extract the expected number of tests from testing configuration results
ExpTests.OTC	Extract the expected number of tests from optimal testing configuration results
ExpTests.Sterrett	Extract the expected number of tests from testing configuration results
ExpTests.TOD	Extract the expected number of tests from testing configuration results
formula.gtReg	Extract the model formula from a fitted group testing model
GroupMembershipMatrix	Construct a group membership matrix for hierarchical algorithms
gtPower	Power to reject a hypothesis for one proportion in group testing
gtReg	Fitting group testing regression models
gtRegControl	Auxiliary for controlling group testing regression
gtSim	Simulation function for group testing data
gtTest	Hypothesis test for one proportion in group testing
gtWidth	Expected width of confidence intervals in group testing
halving	Probability mass function for halving
hivsurv	Data from an HIV surveillance project
IndProb	Extract the individual probabilities used to calculate group testing results
informativeArrayProb	Arrange a matrix of probabilities for informative array testing
opChar1	Calculate operating characteristics for group testing algorithms that use a single-disease assay
opChar2	Calculate operating characteristics for group testing algorithms that use a multiplex assay for two diseases
operatingCharacteristics1	Calculate operating characteristics for group testing algorithms that use a single-disease assay
operatingCharacteristics2	Calculate operating characteristics for group testing algorithms that use a multiplex assay for two diseases
OTC1	Find the optimal testing configuration for group testing algorithms that use a single-disease assay
OTC2	Find the optimal testing configuration for group testing algorithms that use a multiplex assay for two diseases
plot.OTC	Plot method for optimal testing configuration results
pmf	Access the testing probability mass function returned from an object
pmf.halving	Extract probability mass function (PMF) from group testing results
pmf.Sterrett	Extract probability mass function (PMF) from group testing results
predict.gtReg	Predict method for 'gtReg'
print.designEst	Print method for objects of class "designEst"
print.designPower	Print method for objects of class "designPower"
print.gtReg	Print method for 'gtReg'
print.gtTest	Print method for objects of class "gtTest"
print.halving	Print method for objects of class "halving"
print.opChar	Print method for operating characteristics results
print.OTC	Print method for optimal testing configuration results
print.predict.gtReg	Print method for 'predict.gtReg'
print.propCI	Print method for objects of class "propCI"
print.propDiffCI	Print method for objects of class "propDiffCI"
print.Sterrett	Print method for objects of class "Sterrett"
print.summary.gtReg	Print method for 'summary.gtReg'
print.TOD	Print method for 'TOD'
propCI	Confidence intervals for one proportion in group testing
propDiffCI	Confidence intervals for the difference of proportions in group testing
residuals.gtReg	Extract model residuals from a fitted group testing model
Sterrett	Summary measures for Sterrett algorithms
summary.gtReg	Summary method for 'gtReg'
summary.opChar	Summary method for operating characteristics results
summary.OTC	Summary method for optimal testing configuration results
TOD	Summary measures for the Thresholded Optimal Dorfman (TOD) algorithm