Package index • binGroup2

All functions
`Accuracy()`	Extract the accuracy measures from group testing results
`CompareConfig()`	Compare group testing results
`Config(<OTC>)`	Extract the testing configuration from group testing results
`Config()`	Access the testing configurations returned from an object
`Config(<opChar>)`	Extract the testing configuration from group testing results
`ExpTests(<OTC>)`	Extract the expected number of tests from optimal testing configuration results
`ExpTests()`	Access the expected number of tests from an object
`ExpTests(<Sterrett>)`	Extract the expected number of tests from testing configuration results
`ExpTests(<TOD>)`	Extract the expected number of tests from testing configuration results
`ExpTests(<halving>)`	Extract the expected number of tests from testing configuration results
`ExpTests(<opChar>)`	Extract the expected number of tests from testing configuration results
`GroupMembershipMatrix()`	Construct a group membership matrix for hierarchical algorithms
`IndProb()`	Extract the individual probabilities used to calculate group testing results
`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
`Sterrett()`	Summary measures for Sterrett algorithms
`TOD()`	Summary measures for the Thresholded Optimal Dorfman (TOD) algorithm
`binGroup2` `binGroup2-package`	binGroup2: Identification and Estimation using Group Testing
`coef(<gtReg>)` `coefficients(<gtReg>)`	Extract coefficients from a fitted group testing model
`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
`formula(<gtReg>)`	Extract the model formula from a fitted group testing model
`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
`operatingCharacteristics1()` `opChar1()`	Calculate operating characteristics for group testing algorithms that use a single-disease assay
`operatingCharacteristics2()` `opChar2()`	Calculate operating characteristics 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(<Sterrett>)`	Extract probability mass function (PMF) from group testing results
`pmf(<halving>)`	Extract probability mass function (PMF) from group testing results
`predict(<gtReg>)`	Predict method for `gtReg`
`print(<OTC>)`	Print method for optimal testing configuration results
`print(<Sterrett>)`	Print method for objects of class "Sterrett"
`print(<TOD>)`	Print method for `TOD`
`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(<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(<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
`residuals(<gtReg>)`	Extract model residuals from a fitted group testing model
`summary(<OTC>)`	Summary method for optimal testing configuration results
`summary(<gtReg>)`	Summary method for `gtReg`
`summary(<opChar>)`	Summary method for operating characteristics results

Reference

All functions