| Name : R-KSgeneral
| |
| Version : 2.0.2
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.1.1
| Date : 2024-07-31 09:28:31
|
| Group : Development/Libraries/Other
| Source RPM : R-KSgeneral-2.0.2-lp153.1.1.src.rpm
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| Size : 0.32 MB
| |
| Packager : (none)
| |
| Summary : Computing P-Values of the One-Sample K-S Test and the Two-Sample K-S and Kuiper Tests for (Dis)Continuous Null Distribution
|
Description :
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.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
