ggplot2, graphics, grDevices, partitions, rBeta2009, Rcpp (>=
1.0.0), Rdpack, scales, stats, utils

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. 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.

c(person("Brianna", "Hitt", role=c("aut", "cre"), email="brianna.hitt@afacademy.af.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"))

Asymptotic simultaneous confdence intervals for many-to-one comparisons of proportions
Asymptotic simultaneous confidence intervals for comparison of many treatments with one control,
for the difference of binomial proportions, allows for Dunnett-like-adjustment, Bonferroni or unadjusted intervals.
Simulation of power of the above interval methods, approximate calculation of any-pair-power, and sample size
iteration based on approximate any-pair power.
Exact conditional maximum test for many-to-one comparisons to a control.

Asymptotic simultaneous confidence intervals for many-to-one
comparisons of proportions
Asymptotic simultaneous confidence intervals for
comparison of many treatments with one control, for the
difference of binomial proportions, allows for
Dunnett-like-adjustment, Bonferroni or unadjusted intervals.
Simulation of power of the above interval methods, approximate
calculation of any-pair-power, and sample size iteration based
on approximate any-pair power. Exact conditional maximum test
for many-to-one comparisons to a control.