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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>.
| Version: | 2.4.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | parallel, stats |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown, ResourceSelection, ggplot2, CompQuadForm, statmod, mgcv, BAGofT, givitiR, callr |
| Published: | 2026-07-22 |
| DOI: | 10.32614/CRAN.package.ebrahim.gof |
| Author: | Ebrahim Khaled Ebrahim
|
| 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 |
| Package source: | ebrahim.gof_2.4.0.tar.gz |
| Windows binaries: | r-devel: ebrahim.gof_2.4.0.zip, r-release: ebrahim.gof_2.4.0.zip, r-oldrel: ebrahim.gof_2.4.0.zip |
| macOS binaries: | r-release (arm64): ebrahim.gof_2.4.0.tgz, r-oldrel (arm64): ebrahim.gof_2.4.0.tgz, r-release (x86_64): ebrahim.gof_2.4.0.tgz, r-oldrel (x86_64): ebrahim.gof_2.4.0.tgz |
| Old sources: | ebrahim.gof archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.