aglm: Accurate Generalized Linear Model
Provides functions to fit Accurate Generalized Linear Model (AGLM) models, visualize them, and predict for new data. AGLM is defined as a regularized GLM which applies a sort of feature transformations using a discretization of numerical features and specific coding methodologies of dummy variables. For more information on AGLM, see Suguru Fujita, Toyoto Tanaka, Kenji Kondo and Hirokazu Iwasawa (2020) <https://www.institutdesactuaires.com/global/gene/link.php?doc_id=16273&fg=1>.
| Version: | 0.4.1 |
| Depends: | R (≥ 4.0.0) |
| Imports: | glmnet (≥ 4.0.2),assertthat, methods,mathjaxr |
| Suggests: | testthat,knitr,rmarkdown,MASS,faraway |
| Published: | 2025-05-12 |
| DOI: | 10.32614/CRAN.package.aglm |
| Author: | Kenji Kondo [aut, cre, cph], Kazuhisa Takahashi [ctb], Hikari Banno [ctb] |
| Maintainer: | Kenji Kondo <kkondo.odnokk at gmail.com> |
| BugReports: | https://github.com/kkondo1981/aglm/issues |
| License: | GPL-2 |
| URL: | https://github.com/kkondo1981/aglm |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README,NEWS |
| CRAN checks: | aglm results |
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