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 |