Goodness-of-Fit and Calibration Tests for Logistic Regression R package ebrahim.gof version 2.4.0 Provides a unified battery of goodness-of-fit and calibration tests for binary logistic regression, runnable in a single call via 'run.all.gof()'. The package introduces the author's own tests aimed at sparse data --- the omnibus Ebrahim-Farrington (EF) test, the Directed EF ('EDGE') test that targets smooth calibration-shape departures, and a Cauchy-combination ensemble --- and aggregates a wide range of classical and modern tests for comparison, including Hosmer-Lemeshow, McCullagh, Osius-Rojek, le Cessie-van Houwelingen, Stute-Zhu, the binary-adaptive 'BAGofT' test, and the 'GiViTI' calibration test (each obtained from its own package, where installed, and attributed to its authors). The tools are particularly suited to sparse data, where the Hosmer-Lemeshow test loses power. For more details see Hosmer (1980) <doi:10.1080/03610928008827941> and Farrington (1996) <doi:10.1111/j.2517-6161.1996.tb02086.x>. Software Depends: R (>= 3.5.0) Imports: parallel, stats Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ResourceSelection, ggplot2, CompQuadForm, statmod, mgcv, BAGofT, givitiR, callr Ebrahim Khaled Ebrahim <ebrahimkhaled@alexu.edu.eg> Comprehensive R Archive Network (CRAN) Ebrahim Khaled Ebrahim [aut, cre] (ORCID: <https://orcid.org/0009-0006-7839-8778>) GPL-3 2026-07-22 application/tgz https://CRAN.R-project.org/package=ebrahim.gof doi:10.32614/CRAN.package.ebrahim.gof