ebrahim.gof: Goodness-of-Fit and Calibration Tests for Logistic Regression

Provides a unified battery of goodness-of-fit and calibration tests for binary logistic regression, runnable in a single call via 'run.all.gof()'. Around twenty-five tests spanning five decades of literature are aggregated and grouped by the departure each is built to detect: global and standardized statistics, partition tests, directed and covariate-space tests, smoothing and resampling tests, and calibration tests. Each is obtained from its own package where installed and attributed to its authors. The package also implements the author's own procedures for sparse data, where the Hosmer-Lemeshow test loses power: the omnibus Ebrahim-Farrington test, the directed 'EDGE' test, 'DeepGOF-1' (a pretrained convolutional statistic whose level comes from the analyst's own parametric bootstrap rather than from the network), a Cauchy-combination ensemble, 'legoft()' (a pretrained combination whose weights are fixed offline and ship frozen, so two analysts obtain the same p-value), and 'shrink.gof()' for penalized (ridge) logistic regression, where shrinkage biases the fitted probabilities and invalidates the usual chi-squared references. For more details see Hosmer (1980) <doi:10.1080/03610928008827941> and Farrington (1996) <doi:10.1111/j.2517-6161.1996.tb02086.x>.

Version: 2.6.0
Depends: R (≥ 3.5.0)
Imports: parallel, stats
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, ResourceSelection, ggplot2, CompQuadForm, statmod, mgcv, BAGofT, givitiR, callr
Published: 2026-08-28
DOI: 10.32614/CRAN.package.ebrahim.gof
Author: Ebrahim Khaled Ebrahim ORCID iD [aut, cre]
Maintainer: Ebrahim Khaled Ebrahim <ebrahimkhaled at alexu.edu.eg>
BugReports: https://github.com/ebrahimkhaled/ebrahim.gof/issues
License: GPL-3
URL: https://github.com/ebrahimkhaled/ebrahim.gof
NeedsCompilation: no
Citation: ebrahim.gof citation info
Materials: README, NEWS
CRAN checks: ebrahim.gof results

Documentation:

Reference manual: ebrahim.gof.html , ebrahim.gof.pdf
Vignettes: Introduction to the Ebrahim-Farrington Goodness-of-Fit Test (source, R code)
A goodness-of-fit and calibration toolbox for logistic regression (source, R code)

Downloads:

Package source: ebrahim.gof_2.6.0.tar.gz
Windows binaries: r-devel: ebrahim.gof_2.6.0.zip, r-release: ebrahim.gof_2.4.0.zip, r-oldrel: ebrahim.gof_2.6.0.zip
macOS binaries: r-release (arm64): ebrahim.gof_2.6.0.tgz, r-oldrel (arm64): ebrahim.gof_2.6.0.tgz, r-release (x86_64): ebrahim.gof_2.6.0.tgz, r-oldrel (x86_64): ebrahim.gof_2.6.0.tgz
Old sources: ebrahim.gof archive

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