distfreereg: Distribution-Free Goodness-of-Fit Testing for Regression
Implements the distribution-free goodness-of-fit regression testing procedure, introduced by Estate Khmaladze (2021, <doi:10.1007/s10463-021-00786-3>) to test whether or not the mean structure of a parametric model belongs to a specified model family. The test is implemented for general mean functions with minimal distributional assumptions as well as common models (e.g., lm, glm) with the usual model assumptions.
| Version: | 1.2 |
| Depends: | R (≥ 4.4) |
| Imports: | calculus, clue, lme4, methods |
| Suggests: | knitr, rmarkdown |
| Published: | 2026-05-08 |
| DOI: | 10.32614/CRAN.package.distfreereg |
| Author: | Jesse Miller 
[aut, cre] |
| Maintainer: | Jesse Miller <smallepsilon at proton.me> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | distfreereg results |
Documentation:
Downloads:
| Package source: | distfreereg_1.2.tar.gz |
| Windows binaries: | r-devel: distfreereg_1.2.zip, r-release: distfreereg_1.2.zip, r-oldrel: distfreereg_1.2.zip |
| macOS binaries: | r-release (arm64): distfreereg_1.2.tgz, r-oldrel (arm64): distfreereg_1.2.tgz, r-release (x86_64): distfreereg_1.2.tgz, r-oldrel (x86_64): distfreereg_1.2.tgz |
| Old sources: | distfreereg archive |
Linking:
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