Evaluation and Experimental Design for Binomial Group Testing

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Documentation for package ‘binGroup’ version 2.2-3

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binGroup-package Statistical Methods for Group Testing.
accuracy.dorf Accuracy measures for informative Dorfman testing
Array.Measures Operating characteristics for array testing without master pooling
beta.dist Expected value of order statistics from a beta distribution
bgtAC Confidence Intervals for One Proportion in Binomial Group Testing
bgtBlaker Confidence Intervals for One Proportion in Binomial Group Testing
bgtCI Confidence Intervals for One Proportion in Binomial Group Testing
bgtCP Confidence Intervals for One Proportion in Binomial Group Testing
bgtPower Power to Reject a Hypothesis in Binomial Group Testing for One Proportion
bgtPowerI Power to Reject a Hypothesis in Binomial Group Testing for One Proportion
bgtSOC Confidence Intervals for One Proportion in Binomial Group Testing
bgtTest Hypothesis Test for One Proportion in Binomial Group Testing
bgtvs Confidence Interval for One Proportion in Group Testing with Variable Group Sizes
bgtWald Confidence Intervals for One Proportion in Binomial Group Testing
bgtWidth Expected Width of Confidence Intervals in Binomial Group Testing
bgtWidthI Expected Width of Confidence Intervals in Binomial Group Testing
bgtWilson Confidence Intervals for One Proportion in Binomial Group Testing
binAC Confidence Intervals for One Binomial Proportion
binBlaker Confidence Intervals for One Binomial Proportion
binCI Confidence Intervals for One Binomial Proportion
binCP Confidence Intervals for One Binomial Proportion
binDesign Sample Size Iteration for One Parameter Binomial Problem
binGroup Statistical Methods for Group Testing.
binPower Power Calculation for One Parameter Binomial Problem
binPowerI Power Calculation for One Parameter Binomial Problem
binSOC Confidence Intervals for One Binomial Proportion
binTest Hypothesis tests for One Binomial Proportion
binWald Confidence Intervals for One Binomial Proportion
binWidth Expected Confidence Interval Width for One Binomial Proportion
binWilson Confidence Intervals for One Binomial Proportion
characteristics.pool Testing expenditure for informative Dorfman testing
EM Fitting Group Testing Models
EM.halving Fitting Group Testing Models Under the Halving Protocol
EM.mp Fitting Group Testing Models in Matrix Pooling Setting
EM.ret Fitting Group Testing Models
estDesign Sample Size Iteration Depending on Minimal MSE in One-Parameter Group Testing
gt.control Auxiliary for Controlling Group Testing Regression
gtreg Fitting Group Testing Models
gtreg.fit Fitting Group Testing Models
gtreg.halving Fitting Group Testing Models Under the Halving Protocol
gtreg.mp Fitting Group Testing Models in Matrix Pooling Setting
hierarchical.desc2 Operating characteristics for hierarchical group testing
hivsurv Data from an HIV surveillance project
Inf.Array Find the optimal testing configuration for informative array testing without master pooling
Inf.D3 Find the optimal testing configuration for informative three-stage hierarchical testing
Inf.Dorf Find the optimal testing configuration for informative two-stage hierarchical (Dorfman) testing
inf.dorf.measures Operating characteristics for informative two-stage hierarchical (Dorfman) testing
Informative.array.prob Arrange a matrix of probabilities for informative array testing
MasterPool.Array.Measures Operating characteristics for array testing with master pooling
msep Sample Size Iteration Depending on Minimal MSE in One-Parameter Group Testing
nDesign Iterate Sample Size in One Parameter Group Testing
NI.A2M Find the optimal testing configuration for non-informative array testing with master pooling
NI.Array Find the optimal testing configuration for non-informative array testing without master pooling
NI.D3 Find the optimal testing configuration for non-informative three-stage hierarchical testing
NI.Dorf Find the optimal testing configuration for non-informative two-stage hierarchical testing
opt.info.dorf Find the characteristics of an informative two-stage hierarchical (Dorfman) algorithm
opt.pool.size Find the optimal pool size for Optimal Dorfman or Thresholded Optimal Dorfman
OTC Find the optimal testing configuration
p.vec.func Generate a vector of probabilities for informative group testing algorithms.
plot.binDesign Plot Results of binDesign
plot.nDesign Plot Results of nDesign or sDesign
plot.poolbin Diagnostic line fit for pool.bin objects
plot.sDesign Plot Results of nDesign or sDesign
pool.specific.dorf Find the optimal pool sizes for Pool-Specific Optimal Dorfman (PSOD) testing
pooledBin Confidence intervals for a single proportion
pooledBinDiff Confidence intervals for the difference of proportions
predict.gt Predict Method for Group Testing Model Fits
print.bgtCI Print Functions for Group Testing CIs and Tests for One Proportion
print.bgtTest Print Functions for Group Testing CIs and Tests for One Proportion
print.bgtvs Print Functions for Group Testing CIs and Tests for One Proportion
print.binCI Print Functions for Group Testing CIs and Tests for One Proportion
print.binDesign Print Function for binDesign
print.binTest Print Functions for Group Testing CIs and Tests for One Proportion
print.gt Print methods for objects of classes "gt" and "gt.mp"
print.nDesign Print Functions for nDesign and sDesign
print.poolbin Print methods for classes "poolbin" and "poolbindiff"
print.poolbindiff Print methods for classes "poolbin" and "poolbindiff"
print.sDesign Print Functions for nDesign and sDesign
print.summary.gt Print Functions for summary.gt.mp and summary.gt
print.summary.gt.mp Print Functions for summary.gt.mp and summary.gt
residuals.gt Extract Model Residuals From a Fitted Group Testing Model
sDesign Iterate Group Size for a One-Parameter Group Testing Problem
sim.gt Simulation Function for Group Testing Data
sim.halving Simulation Function for Group Testing Data for the Halving Protocol
sim.mp Simulation Function for Group Testing Data with Matrix Pooling Design
summary.gt Summary Method for Group Testing Model (Simple Pooling) Fits
summary.gt.mp Summary Method for Group Testing Model (Matrix Pooling) Fits
summary.poolbin Summary methods for "poolbin" and "poolbindiff"
summary.poolbindiff Summary methods for "poolbin" and "poolbindiff"
thresh.val.dorf Find the optimal threshold value for Thresholded Optimal Dorfman testing