SetTest: Group Testing Procedures for Signal Detection and Goodness-of-Fit

It provides cumulative distribution function (CDF), quantile, p-value, statistical power calculator and random number generator for a collection of group-testing procedures, including the Higher Criticism tests, the one-sided Kolmogorov-Smirnov tests, the one-sided Berk-Jones tests, the one-sided phi-divergence tests, etc. The input are a group of p-values. The null hypothesis is that they are i.i.d. Uniform(0,1). In the context of signal detection, the null hypothesis means no signals. In the context of the goodness-of-fit testing, which contrasts a group of i.i.d. random variables to a given continuous distribution, the input p-values can be obtained by the CDF transformation. The null hypothesis means that these random variables follow the given distribution. For reference, see Hong Zhang, Jiashun Jin and Zheyang Wu. "Distributions and Statistical Power of Optimal Signal-Detection Methods In Finite Cases", submitted.

Version: 0.2.0
Published: 2018-03-22
Author: Hong Zhang and Zheyang Wu
Maintainer: Hong Zhang <hzhang at>
License: GPL-2
NeedsCompilation: no
CRAN checks: SetTest results


Reference manual: SetTest.pdf


Package source: SetTest_0.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SetTest_0.2.0.tgz, r-oldrel (arm64): SetTest_0.2.0.tgz, r-release (x86_64): SetTest_0.2.0.tgz, r-oldrel (x86_64): SetTest_0.2.0.tgz
Old sources: SetTest archive


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