This package provides methods for estimation and hypothesis testing of proportions in group testing designs. It involves methods for estimating a proportion in a single population (assuming sensitivity and specificity 1 in designs with equal group sizes), as well as hypothesis tests and functions for experimental design for this situation. For estimating one proportion or the difference of proportions, a number of confidence interval methods are included, which can deal with various different pool sizes. Further, regression methods are implemented for simple pooling and matrix pooling designs.
|Author||Boan Zhang, Christopher Bilder, Brad Biggerstaff, Frank Schaarschmidt|
|Date of publication||2012-08-14 13:01:31|
|Maintainer||Frank Schaarschmidt <email@example.com>|
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...
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
hivsurv: Data from an HIV surveillance project
nDesign: Iterate Sample Size in One Parameter Group Testing
plot.bgtDesign: Plot Results of nDesign or sDesign
plot.binDesign: Plot Results of binDesign
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.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
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"