savvyGLM: Generalized Linear Models with Slab and Shrinkage Estimators
Provides a flexible framework for fitting generalized linear models (GLMs)
with slab and shrinkage estimators. Methods include the Stein estimator (St),
Diagonal Shrinkage (DSh), Simple Slab Regression (SR), Generalized Slab Regression (GSR),
Ledoit-Wolf Linear Shrinkage (LW), Quadratic-Inverse Shrinkage (QIS),
and Shrinkage (Sh), all integrated into the iteratively reweighted least squares (IRLS)
algorithm. This approach enhances estimation accuracy, convergence, and robustness
in the presence of multicollinearity. The best-fitting model is selected based on
the Akaike Information Criterion (AIC). Methods are related to methods described in
Marschner (2011) <doi:10.32614/RJ-2011-012>,
Asimit et al. (2025) <https://openaccess.city.ac.uk/id/eprint/35005/>,
Ledoit and Wolf (2004) <doi:10.1016/S0047-259X(03)00096-4>, and
Ledoit and Wolf (2022) <doi:10.3150/20-BEJ1315>.
| Version: |
0.1.1 |
| Depends: |
R (≥ 3.6.0) |
| Imports: |
stats, MASS, glmnet, expm, parallel, glm2, utils, Matrix, CVXR (≥ 1.8.0) |
| Suggests: |
devtools, testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: |
2026-05-02 |
| DOI: |
10.32614/CRAN.package.savvyGLM (may not be active yet) |
| Author: |
Ziwei Chen  [aut,
cre],
Vali Asimit [aut],
Claudio Senatore [aut] |
| Maintainer: |
Ziwei Chen <Ziwei.Chen.3 at citystgeorges.ac.uk> |
| BugReports: |
https://github.com/ziwei-chenchen/savvyGLM/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://Ziwei-ChenChen.github.io/savvyGLM/ |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
savvyGLM results |
Documentation:
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