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:

Reference manual:	distfreereg.html , distfreereg.pdf
Vignettes:	An Introduction to the distfreereg Package (source) Comparing Distributions with the distfreereg Package (source) Plotting with the distfreereg Package (source) Parameter Estimation with distfreereg (source) Advanced Options for the distfreereg Package (source)

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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