binGroup: Evaluation and Experimental Design for Binomial Group Testing
Methods for estimation and hypothesis testing of proportions
in group testing designs: methods for estimating a proportion in a single
population (assuming sensitivity and specificity equal to 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.
Methods for identification of positive items in group
testing designs: Optimal testing configurations can be found
for hierarchical and array-based algorithms. Operating
characteristics can be calculated for testing configurations
across a wide variety of situations.
| Version: |
2.2-1 |
| Imports: |
graphics, partitions, Rdpack, stats, utils |
| Published: |
2018-08-24 |
| Author: |
Boan Zhang [aut],
Christopher Bilder [aut],
Brad Biggerstaff [aut],
Frank Schaarschmidt [aut, cre],
Brianna Hitt [aut] |
| Maintainer: |
Frank Schaarschmidt <schaarschmidt at biostat.uni-hannover.de> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
no |
| CRAN checks: |
binGroup results |
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