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), the
Directed Ebrahim-Farrington (DEF) test that targets calibration-shape
departures, and an ensemble that combines the DEF bases via the Cauchy
combination test. For more details see Hosmer (1980) <doi:10.1080/03610928008827941> and Farrington (1996) <doi:10.1111/j.2517-6161.1996.tb02086.x>.
| Version: |
2.0.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
stats |
| Suggests: |
testthat (≥ 3.0.0), knitr, rmarkdown, ResourceSelection, ggplot2, CompQuadForm, statmod, mgcv, BAGofT |
| Published: |
2026-06-12 |
| 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:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=ebrahim.gof
to link to this page.