gofedf: Goodness of Fit Tests Based on Empirical Distribution Functions (original) (raw)
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 |
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