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

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. <doi: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.

Version: 2.0.0
Depends: R (≥ 3.3.0)
Imports: Rcpp (≥ 0.12.12), MASS, dgof
LinkingTo: Rcpp
Published: 2024-05-21
Author: Dimitrina S. Dimitrova, Yun Jia, Vladimir K. Kaishev, Senren Tan
Maintainer: Dimitrina S. Dimitrova <D.Dimitrova at city.ac.uk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
Copyright: Copyright holders of FFTW3: Copyright (c) 2003, 2007-11 Matteo Frigo; Copyright (c) 2003, 2007-11 Massachusetts Institute of Technology
URL: https://github.com/d-dimitrova/KSgeneral
NeedsCompilation: yes
SystemRequirements: fftw3 (>=3.3.4)
Citation: KSgeneral citation info
CRAN checks: KSgeneral results


Reference manual: KSgeneral.pdf


Package source: KSgeneral_2.0.0.tar.gz
Windows binaries: r-devel: KSgeneral_2.0.0.zip, r-release: KSgeneral_2.0.0.zip, r-oldrel: KSgeneral_2.0.0.zip
macOS binaries: r-release (arm64): KSgeneral_2.0.0.tgz, r-oldrel (arm64): KSgeneral_2.0.0.tgz, r-release (x86_64): KSgeneral_2.0.0.tgz, r-oldrel (x86_64): KSgeneral_2.0.0.tgz
Old sources: KSgeneral archive


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