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: |
0.4.0 |
| Depends: |
R (≥ 4.0.0) |
| Imports: |
glmnet (≥ 4.0.2), assertthat, methods, mathjaxr |
| Suggests: |
testthat, knitr, rmarkdown, MASS, faraway |
| Published: |
2021-06-09 |
| 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 |
Documentation:
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