goftest: Classical Goodness-of-Fit Tests for Univariate Distributions

Cramer-Von Mises and Anderson-Darling tests of goodness-of-fit for continuous univariate distributions, using efficient algorithms.

Install the latest version of this package by entering the following in R:
install.packages("goftest")
AuthorJulian Faraway [aut], George Marsaglia [aut], John Marsaglia [aut], Adrian Baddeley [aut, cre]
Date of publication2017-04-03 06:17:16 UTC
MaintainerAdrian Baddeley <Adrian.Baddeley@curtin.edu.au>
LicenseGPL (>= 2)
Version1.1-1

View on CRAN

Files

src
src/AnDarl.c
src/ADinf.c
src/init.c
src/RCS
src/RCS/ADinf.c,v
src/RCS/AnDarl.c,v
NAMESPACE
R
R/andarl.R R/cramer.R R/cvmtest.R
R/oldRCS
R/oldRCS/recog.R,v
R/oldRCS/cramer.R,v
R/oldRCS/andarl.R,v
R/oldRCS/cvmtest.R,v
R/recog.R
MD5
DESCRIPTION
man
man/goftest-package.Rd man/pCvM.Rd man/pAD.Rd man/cvm.test.Rd man/recogniseCdf.Rd
man/RCS
man/RCS/ad.test.Rd,v
man/RCS/pCvM.Rd,v
man/RCS/pAD.Rd,v
man/RCS/cvm.test.Rd,v
man/RCS/goftest-package.Rd,v
man/ad.test.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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