R: Evaluation and Experimental Design for Binomial Group Testing

# Evaluation and Experimental Design for Binomial Group Testing

## Documentation for package ‘binGroup’ version 2.2-3

- DESCRIPTION file

## Help Pages

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