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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "SetTest" in publications use:'
type: software
license: GPL-2.0-only
title: 'SetTest: Group Testing Procedures for Signal Detection and Goodness-of-Fit'
version: 0.3.0
doi: 10.32614/CRAN.package.SetTest
abstract: 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.
authors:
- family-names: Zhang
  given-names: Hong
  email: hzhang@wpi.edu
- family-names: Wu
  given-names: Zheyang
repository: https://zwulab.r-universe.dev
commit: da3443278406372883d113a20d6ad1bea9ef17e8
date-released: '2026-08-09'
contact:
- family-names: Zhang
  given-names: Hong
  email: hzhang@wpi.edu