Evaluation and experimental design for binomial group testing
Confidence intervals and tests for a single binomial proportion.
Clopper-Pearson, Blaker, Second-order corrected,  Wilson, Agresti-Coull and Wald CI for standard binomial and binomial group testing.  Exact, Score and Wald Test for standard binomial  and binomial group testing.
Experimental design 1. depending on power of the different CI methods and 2. controlling bias and mse of the estimator
depending on group size and sample size, and calculation of expected interval width.

Confidence intervals and tests for a single binomial proportion.
Exact and approximate methods for equal group size and exact method for designs with unequal group sizes.
Exact, Score and Wald Test for standard binomial and binomial group testing for designs with equal group size.
Experimental design depending on power, controlling bias and mse of the estimator
depending on group size and sample size, and calculation of expected interval width.

Boan Zhang, Christopher Bilder, Brad Biggerstaff, Frank
Schaarschmidt
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 specificty 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.

Boan Zhang, Christopher Bilder, Frank Schaarschmidt
This package provides methods for estimation and
hypothesis testing of proportions in group testing designs.
Currently, methods of estimating a proportion in a single
population, as well as hypothesis tests and functions for
experimental design for this situation are provided. Further,
regression methods are implemented for simple pooling and
matrix pooling designs.