| accuracy.dorf | Accuracy measures for informative Dorfman testing |
| Array.Measures | Operating characteristics for array testing without master... |
| beta.dist | Expected value of order statistics from a beta distribution |
| bgtCI | Confidence Intervals for One Proportion in Binomial Group... |
| bgtPower | Power to Reject a Hypothesis in Binomial Group Testing for... |
| bgtTest | Hypothesis Test for One Proportion in Binomial Group Testing |
| bgtvs | Confidence Interval for One Proportion in Group Testing with... |
| bgtWidth | Expected Width of Confidence Intervals in Binomial Group... |
| binCI | Confidence Intervals for One Binomial Proportion |
| binDesign | Sample Size Iteration for One Parameter Binomial Problem |
| binGroup-package | Statistical Methods for Group Testing. |
| binPower | Power Calculation for One Parameter Binomial Problem |
| binTest | Hypothesis tests for One Binomial Proportion |
| binWidth | Expected Confidence Interval Width for One Binomial... |
| characteristics.pool | Testing expenditure for informative Dorfman testing |
| estDesign | Sample Size Iteration Depending on Minimal MSE in... |
| gt.control | Auxiliary for Controlling Group Testing Regression |
| gtreg | 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... |
| Inf.D3 | Find the optimal testing configuration for informative... |
| Inf.Dorf | Find the optimal testing configuration for informative... |
| inf.dorf.measures | Operating characteristics for informative two-stage... |
| Informative.array.prob | Arrange a matrix of probabilities for informative array... |
| MasterPool.Array.Measures | Operating characteristics for array testing with master... |
| nDesign | Iterate Sample Size in One Parameter Group Testing |
| NI.A2M | Find the optimal testing configuration for non-informative... |
| NI.Array | Find the optimal testing configuration for non-informative... |
| NI.D3 | Find the optimal testing configuration for non-informative... |
| NI.Dorf | Find the optimal testing configuration for non-informative... |
| opt.info.dorf | Find the characteristics of an informative two-stage... |
| opt.pool.size | Find the optimal pool size for Optimal Dorfman or Thresholded... |
| OTC | Find the optimal testing configuration |
| plot.bgtDesign | Plot Results of nDesign or sDesign |
| plot.binDesign | Plot Results of binDesign |
| plot.poolbin | Diagnostic line fit for pool.bin objects |
| pooledBin | Confidence intervals for a single proportion |
| pooledBinDiff | Confidence intervals for the difference of proportions |
| pool.specific.dorf | Find the optimal pool sizes for Pool-Specific Optimal Dorfman... |
| predict.gt | Predict Method for Group Testing Model Fits |
| print.bgt | Print Functions for Group Testing CIs and Tests for One... |
| print.bgtDesign | Print Functions for nDesign and sDesign |
| print.binDesign | Print Function for binDesign |
| print.gt | Print methods for objects of classes "gt" and "gt.mp" |
| print.poolbindiff | Print methods for classes "poolbin" and "poolbindiff" |
| print.summary.gt.mp | Print Functions for summary.gt.mp and summary.gt |
| p.vec.func | Generate a vector of probabilities for informative group... |
| 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... |
| sim.mp | Simulation Function for Group Testing Data with Matrix... |
| summary.gt | Summary Method for Group Testing Model (Simple Pooling) Fits |
| summary.gt.mp | Summary Method for Group Testing Model (Matrix Pooling) Fits |
| summary.poolbindiff | Summary methods for "poolbin" and "poolbindiff" |
| thresh.val.dorf | Find the optimal threshold value for Thresholded Optimal... |
