Package: SetTest
Type: Package
Title: Group Testing Procedures for Signal Detection and
        Goodness-of-Fit
Version: 0.3.1
Authors@R: c(
    person("Hong", "Zhang", role = "aut"),
    person("Zheyang", "Wu", email = "zheyangwu@wpi.edu", role = c("aut", "cre")))
Description: 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.
License: GPL-2
URL: https://github.com/ZWuLab/SetTest
BugReports: https://github.com/ZWuLab/SetTest/issues
Encoding: UTF-8
RoxygenNote: 7.2.0
NeedsCompilation: no
Packaged: 2026-08-09 18:01:07 UTC; zheyangwu
Author: Hong Zhang [aut],
  Zheyang Wu [aut, cre]
Maintainer: Zheyang Wu <zheyangwu@wpi.edu>
Repository: CRAN
Date/Publication: 2026-08-24 18:30:09 UTC
Built: R 4.5.2; ; 2026-08-24 21:38:43 UTC; unix
