graphics, partitions, Rdpack, stats, utils
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.

Identification and Estimation using Group Testing
c(person("Brianna", "Hitt", role=c("aut", "cre"), email="brianna.hitt@huskers.unl.edu", comment=c(ORCID="0000-0002-0645-0067")),
person("Christopher", "Bilder",  role="aut", comment=c(ORCID="0000-0002-2848-8576")),
person("Frank", "Schaarschmidt", role="aut", comment=c(ORCID="0000-0002-6599-3803")),
person("Brad", "Biggerstaff", role="aut", comment=c(ORCID="0000-0002-3105-3530")),
person("Christopher", "McMahan", role="aut", comment=c(ORCID="0000-0001-5056-9615")),
person("Joshua", "Tebbs", role="aut", comment=c(ORCID="0000-0002-6762-7241")),
person("Boan", "Zhang", role="ctb"),
person("Michael", "Black", role="ctb"),
person("Peijie", "Hou", role="ctb"),
person("Peng", "Chen", role="ctb"))
Methods for the group testing identification problem: 1) Operating
characteristics (e.g., expected number of tests) for commonly used
hierarchical and array-based algorithms, and 2) Optimal testing
configurations for these same algorithms. Calculations for algorithms with
single-disease assays are described in Hitt et al. (2019)
<doi:10.1002/sim.8341> and with multiplex assays are described in Bilder
et al. (2019) <doi:10.1111/biom.12988> and Hou et al. (2020)
<doi:10.1093/biostatistics/kxy058>. Methods for the group testing
estimation problem: 1) Estimation and inference procedures for an overall
prevalence, and 2) Regression modeling for commonly used hierarchical and
array-based algorithms. Estimation and confidence interval methods are
described in Biggerstaff (2008) <doi:10.1198/108571108X379055> and
Hepworth & Biggerstaff (2017) <doi:10.1007/s13253-017-0297-2>.
Regression modeling is described in Xie (2001) <doi:10.1002/sim.817>.
graphics, grDevices, partitions, rBeta2009, Rcpp (>= 1.0.0),
Rdpack, stats, utils
Brianna Hitt [aut, cre] (<https://orcid.org/0000-0002-0645-0067>),
Christopher Bilder [aut] (<https://orcid.org/0000-0002-2848-8576>),
Frank Schaarschmidt [aut] (<https://orcid.org/0000-0002-6599-3803>),
Brad Biggerstaff [aut] (<https://orcid.org/0000-0002-3105-3530>),
Christopher McMahan [aut] (<https://orcid.org/0000-0001-5056-9615>),
Joshua Tebbs [aut] (<https://orcid.org/0000-0002-6762-7241>),
Boan Zhang [ctb],
Michael Black [ctb],
Peijie Hou [ctb],
Peng Chen [ctb]