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 [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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3.0 |
rolling linux/jammy R-4.5 | SetTest_0.3.0.tar.gz |
94.7 KiB |
0.3.0 |
rolling linux/noble R-4.5 | SetTest_0.3.0.tar.gz |
93.9 KiB |
0.3.0 |
rolling source/ R- | SetTest_0.3.0.tar.gz |
14.0 KiB |
0.3.0 |
latest linux/jammy R-4.5 | SetTest_0.3.0.tar.gz |
94.7 KiB |
0.3.0 |
latest linux/noble R-4.5 | SetTest_0.3.0.tar.gz |
93.9 KiB |
0.3.0 |
latest source/ R- | SetTest_0.3.0.tar.gz |
14.0 KiB |
0.3.0 |
2026-04-26 source/ R- | SetTest_0.3.0.tar.gz |
14.0 KiB |
0.3.0 |
2026-04-23 source/ R- | SetTest_0.3.0.tar.gz |
14.0 KiB |
0.3.0 |
2026-04-09 windows/windows R-4.5 | SetTest_0.3.0.zip |
97.0 KiB |
0.3.0 |
2025-04-20 source/ R- | SetTest_0.3.0.tar.gz |
14.0 KiB |