Computes the test statistic and p-value of the Cramer-von Mises and Anderson-Darling test for some continuous distribution functions proposed by Chen and Balakrishnan (1995) <http://asq.org/qic/display-item/index.html?item=11407>. In addition to our classic distribution functions here, we calculate the Goodness of Fit (GoF) test to dataset which follows the extreme value distribution function, without remembering the formula of distribution/density functions.
Version: | 0.1.0 |
Imports: | ismev, rmutil |
Published: | 2017-11-05 |
Author: | Ali Saeb |
Maintainer: | Ali Saeb <ali.saeb at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL] |
NeedsCompilation: | no |
CRAN checks: | gnFit results |
Reference manual: | gnFit.pdf |
Package source: | gnFit_0.1.0.tar.gz |
Windows binaries: | r-devel: gnFit_0.1.0.zip, r-release: gnFit_0.1.0.zip, r-oldrel: gnFit_0.1.0.zip |
OS X binaries: | r-release: gnFit_0.1.0.tgz, r-oldrel: gnFit_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=gnFit to link to this page.