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 a sample against 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: 0.1.0
Depends: R (≥ 2.10)
Imports: stats, CompQuadForm, MASS, glm2, statmod
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-10-01
Author: Richard Lockhart [aut], Payman Nickchi [aut, cre]
Maintainer: Payman Nickchi <pnickchi at sfu.ca>
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.pdf
Vignettes: gofedf-vignette

Downloads:

Package source: gofedf_0.1.0.tar.gz
Windows binaries: r-prerel: gofedf_0.1.0.zip, r-release: gofedf_0.1.0.zip, r-oldrel: gofedf_0.1.0.zip
macOS binaries: r-prerel (arm64): gofedf_0.1.0.tgz, r-release (arm64): gofedf_0.1.0.tgz, r-oldrel (arm64): gofedf_0.1.0.tgz, r-prerel (x86_64): gofedf_0.1.0.tgz, r-release (x86_64): gofedf_0.1.0.tgz

Linking:

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