The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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: | 2.0.2 |
| Depends: | R (≥ 3.3.0) |
| Imports: | Rcpp (≥ 0.12.12), MASS, dgof |
| LinkingTo: | Rcpp |
| Published: | 2024-07-29 |
| DOI: | 10.32614/CRAN.package.KSgeneral |
| 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_2.0.2.tar.gz |
| Windows binaries: | r-devel: KSgeneral_2.0.2.zip, r-release: KSgeneral_2.0.2.zip, r-oldrel: KSgeneral_2.0.2.zip |
| macOS binaries: | r-release (arm64): KSgeneral_2.0.2.tgz, r-oldrel (arm64): KSgeneral_2.0.2.tgz, r-release (x86_64): KSgeneral_2.0.2.tgz, r-oldrel (x86_64): KSgeneral_2.0.2.tgz |
| Old sources: | KSgeneral archive |
Please use the canonical form https://CRAN.R-project.org/package=KSgeneral to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.