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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 [1]Hong Zhang, Jiashun Jin and Zheyang Wu. "Distributions and power of optimal signal-detection statistics in finite case", IEEE Transactions on Signal Processing (2020) 68, 1021-1033; [2] Hong Zhang and Zheyang Wu. "The general goodness-of-fit tests for correlated data", Computational Statistics & Data Analysis (2022) 167, 107379.
| Version: | 0.3.0 |
| Published: | 2024-07-15 |
| DOI: | 10.32614/CRAN.package.SetTest |
| Author: | Hong Zhang and Zheyang Wu |
| Maintainer: | Hong Zhang <hzhang at wpi.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | SetTest results |
| Reference manual: | SetTest.pdf |
| Package source: | SetTest_0.3.0.tar.gz |
| Windows binaries: | r-devel: SetTest_0.3.0.zip, r-release: SetTest_0.3.0.zip, r-oldrel: SetTest_0.3.0.zip |
| macOS binaries: | r-release (arm64): SetTest_0.3.0.tgz, r-oldrel (arm64): SetTest_0.3.0.tgz, r-release (x86_64): SetTest_0.3.0.tgz, r-oldrel (x86_64): SetTest_0.3.0.tgz |
| Old sources: | SetTest archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.