# Identification and Estimation using Group Testing

## 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