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EDFtest: Goodness of Fit Based on Empirical Distribution Function

This repository contains software for the calculation of goodness-of-fit test statistics and their P-values. The three statistics computed are the Empirical Distribution function statistics called Cramer-von Mises, Anderson-Darling, and Watson statistics. The statistics and their P-values can be used to assess an assumed distribution.The following distributions are available: Uniform, Normal, Gamma, Logistic, Laplace, Weibull, Extreme Value, and Exponential.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: CompQuadForm (≥ 1.4.3), rmutil (≥ 1.1.5), stats
Suggests: knitr, rmarkdown, stringi, testthat (≥ 3.0.0)
Published: 2021-10-25
DOI: 10.32614/CRAN.package.EDFtest
Author: Li Yao [aut, cre], Richard Lockhart [aut]
Maintainer: Li Yao <yaoliy at sfu.ca>
BugReports: https://github.com/LiYao-sfu/EDFtest/issues
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: EDFtest results

Documentation:

Reference manual: EDFtest.pdf
Vignettes: EDFtest-vignette

Downloads:

Package source: EDFtest_0.1.0.tar.gz
Windows binaries: r-devel: EDFtest_0.1.0.zip, r-release: EDFtest_0.1.0.zip, r-oldrel: EDFtest_0.1.0.zip
macOS binaries: r-release (arm64): EDFtest_0.1.0.tgz, r-oldrel (arm64): EDFtest_0.1.0.tgz, r-release (x86_64): EDFtest_0.1.0.tgz, r-oldrel (x86_64): EDFtest_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=EDFtest 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.