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: 2026-09-22 09:17:43 UTC; root
Repository: https://zwulab.r-universe.dev
Date/Publication: 2026-08-09 17:51:57 UTC
RemoteUrl: https://github.com/zwulab/settest
RemoteRef: HEAD
RemoteSha: da3443278406372883d113a20d6ad1bea9ef17e8