| Name : R-KSgeneral
| |
| Version : 1.1.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp154.1.1
| Date : 2024-03-19 04:48:32
|
| Group : Development/Libraries/Other
| Source RPM : R-KSgeneral-1.1.3-lp154.1.1.src.rpm
|
| Size : 0.21 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Computing P-Values of the K-S Test for (Dis)Continuous Null Distribution
|
Description :
Computes a p-value of the one-sample two-sided (or one-sided, as a
special case) Kolmogorov-Smirnov (KS) statistic, for any fixed critical
level, and an arbitrary, possibly large sample size for a pre-specified
purely discrete, mixed or continuous cumulative distribution function
(cdf) under the null hypothesis. If a data sample is supplied,
\'KSgeneral\' computes the p-value corresponding to the value of the KS
test statistic computed based on the user provided data sample. The
package \'KSgeneral\' implements a novel, accurate and efficient method
named Exact-KS-FFT, expressing the p-value as a double-boundary
non-crossing probability for a homogeneous Poisson process, which is
then efficiently computed using Fast Fourier Transform (FFT). The
package can also be used to compute and plot the complementary cdf of
the KS statistic which is known to depend on the hypothesized
distribution when the latter is discontinuous (i.e. purely discrete or
mixed). To cite this package in publication use: 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>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
