Identification and Estimation using Group Testing


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Documentation for package ‘binGroup2’ version 1.1.0

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binGroup2-package binGroup2: Identification and Estimation using Group Testing
binGroup2 binGroup2: Identification and Estimation using Group Testing
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
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
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
predict.gtReg Predict method for group testing regression model fits
print.designPower Print method for objects of class "designPower"
print.gtTest Print method for objects of class "gtTest"
print.propCI Print method for objects of class "propCI"
print.propDiffCI Print method for objects of class "propDiffCI"
print.summary.gtReg Print method for 'summary.gtReg'
propCI Confidence intervals for one proportion in group testing
propDiffCI Confidence intervals for the difference of proportions in group testing
Sterrett Summary measures for Sterrett algorithms
summary.gtReg Summary method for group testing regression model fits
summary.opChar Summary method for operating characteristics results
summary.OTC Summary method for optimal testing configuration results