# ------------------------------------------------
# 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 "KSgeneral" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'KSgeneral: Computing P-Values of the One-Sample K-S Test and the Two-Sample
  K-S and Kuiper Tests for (Dis)Continuous Null Distribution'
version: 2.1.0
doi: 10.18637/jss.v095.i10
identifiers:
- type: doi
  value: 10.32614/CRAN.package.KSgeneral
abstract: 'Contains functions to compute p-values for the one-sample and two-sample
  Kolmogorov-Smirnov (KS) tests and the two-sample Kuiper test for any fixed critical
  level and arbitrary (possibly very large) sample sizes. For the one-sample KS test,
  this package implements a novel, accurate and efficient method named Exact-KS-FFT,
  which allows the pre-specified cumulative distribution function under the null hypothesis
  to be continuous, purely discrete or mixed. In the two-sample case, it is assumed
  that both samples come from an unspecified (unknown) continuous, purely discrete
  or mixed distribution, i.e. ties (repeated observations) are allowed, and exact
  p-values of the KS and the Kuiper tests are computed. Note, the two-sample Kuiper
  test is often used when data samples are on the line or on the circle (circular
  data). To cite this package in publication: (for the use of the one-sample KS test)
  Dimitrina S. Dimitrova, Vladimir K. Kaishev, and Senren Tan. Computing the Kolmogorov-Smirnov
  Distribution When the Underlying CDF is Purely Discrete, Mixed, or Continuous. Journal
  of Statistical Software. 2020; 95(10): 1--42. <https://doi.org/10.18637/jss.v095.i10>.
  (for the use of the two-sample KS and Kuiper tests) Dimitrina S. Dimitrova, Yun
  Jia and Vladimir K. Kaishev (2024). The R functions KS2sample and Kuiper2sample:
  Efficient Exact Calculation of P-values of the Two-sample Kolmogorov-Smirnov and
  Kuiper Tests. submitted.'
authors:
- family-names: Dimitrova
  given-names: Dimitrina S.
  email: D.Dimitrova@city.ac.uk
- family-names: Jia
  given-names: Yun
  email: yunjia2019@gmail.com
- family-names: Kaishev
  given-names: Vladimir K.
  email: Vladimir.Kaishev.1@city.ac.uk
- family-names: Tan
  given-names: Senren
  email: raymondtsrtsr@outlook.com
preferred-citation:
  type: article
  title: Computing the Kolmogorov-Smirnov Distribution When the Underlying CDF is
    Purely Discrete, Mixed, or Continuous
  authors:
  - family-names: Dimitrova
    given-names: Dimitrina S.
    email: D.Dimitrova@city.ac.uk
  - family-names: Kaishev
    given-names: Vladimir K.
    email: v.kaishev@city.ac.uk
  - family-names: Tan
    given-names: Senren
    email: Senren.Tan@cass.city.ac.uk
  journal: Journal of Statistical Software
  year: '2020'
  volume: '95'
  issue: '10'
  doi: 10.18637/jss.v095.i10
  start: '1'
  end: '42'
repository: https://d-dimitrova.r-universe.dev
repository-code: https://github.com/d-dimitrova/KSgeneral
commit: 7a2acf5bbaae10c7865cbc8c136fa5dd4151d821
url: https://github.com/d-dimitrova/KSgeneral
date-released: '2026-10-02'
contact:
- family-names: Dimitrova
  given-names: Dimitrina S.
  email: D.Dimitrova@city.ac.uk