Package: SetTest
Type: Package
Title: Group Testing Procedures for Signal Detection and
        Goodness-of-Fit
Version: 0.3.0
Author: Hong Zhang and Zheyang Wu
Maintainer: Hong Zhang <hzhang@wpi.edu>
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
Encoding: UTF-8
RoxygenNote: 7.2.0
NeedsCompilation: no
Packaged: 2024-07-10 13:24:38 UTC; consi
Repository: CRAN
Date/Publication: 2024-07-15 03:40:02 UTC
Built: R 4.6.0; ; 2026-04-25 22:16:47 UTC; unix
