ebrahim.gof: Ebrahim-Farrington Goodness-of-Fit Test for Logistic Regression

Implements the Ebrahim-Farrington goodness-of-fit test for logistic regression models, particularly effective for sparse data and binary outcomes. This test provides an improved alternative to the traditional Hosmer-Lemeshow test by using a modified Pearson chi-square statistic with data-dependent grouping. The test is based on Farrington (1996) theoretical framework but simplified for practical implementation with binary data. Includes functions for both the original Farrington test (for grouped data) and the new Ebrahim-Farrington test (for binary data with automatic grouping). For more details see Hosmer (1980) <doi:10.1080/03610928008827941> and Farrington (1996) <doi:10.1111/j.2517-6161.1996.tb02086.x>.

Version:	1.0.0
Depends:	R (≥ 3.5.0)
Imports:	stats
Suggests:	testthat (≥ 3.0.0), knitr, rmarkdown, ResourceSelection, ggplot2
Published:	2025-09-01
DOI:	10.32614/CRAN.package.ebrahim.gof
Author:	Ebrahim Khaled Ebrahim [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
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)

Downloads:

Package source:	ebrahim.gof_1.0.0.tar.gz
Windows binaries:	r-devel: ebrahim.gof_1.0.0.zip, r-release: ebrahim.gof_1.0.0.zip, r-oldrel: ebrahim.gof_1.0.0.zip
macOS binaries:	r-release (arm64): ebrahim.gof_1.0.0.tgz, r-oldrel (arm64): ebrahim.gof_1.0.0.tgz, r-release (x86_64): ebrahim.gof_1.0.0.tgz, r-oldrel (x86_64): ebrahim.gof_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ebrahim.gof to link to this page.