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