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gofedf: Goodness of Fit Tests Based on Empirical Distribution Functions

Routines that allow the user to run goodness of fit tests based on empirical distribution functions for formal model evaluation in a general likelihood model. In addition, functions are provided to test if a sample follows Normal or Gamma distributions, validate the normality assumptions in a linear model, and examine the appropriateness of a Gamma distribution in generalized linear models with various link functions. Michael Arthur Stephens (1976) <http://www.jstor.org/stable/2958206>.

Version:1.0.0
Depends:R (≥ 2.10)
Imports:stats,CompQuadForm,MASS,glm2,statmod
Suggests:knitr,rmarkdown,testthat (≥ 3.0.0)
Published:2025-05-29
DOI:10.32614/CRAN.package.gofedf
Author:Richard Lockhart [aut], Payman Nickchi [aut, cre]
Maintainer:Payman Nickchi <payman.nickchi at gmail.com>
BugReports:https://github.com/pnickchi/gofedf/issues
License:GPL (≥ 3)
URL:https://github.com/pnickchi/gofedf
NeedsCompilation:no
Materials:README
CRAN checks:gofedf results

Documentation:

Reference manual:gofedf.html ,gofedf.pdf
Vignettes:gofedf-vignette (source,R code)

Downloads:

Package source: gofedf_1.0.0.tar.gz
Windows binaries: r-devel:gofedf_1.0.0.zip, r-release:gofedf_1.0.0.zip, r-oldrel:gofedf_1.0.0.zip
macOS binaries: r-release (arm64):gofedf_1.0.0.tgz, r-oldrel (arm64):gofedf_1.0.0.tgz, r-release (x86_64):gofedf_1.0.0.tgz, r-oldrel (x86_64):gofedf_1.0.0.tgz
Old sources: gofedf archive

Linking:

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