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
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

Downloads:

Reference manual: aglm.pdf
Package source: aglm_0.4.0.tar.gz
Windows binaries: r-devel: aglm_0.4.0.zip, r-release: aglm_0.4.0.zip, r-oldrel: aglm_0.4.0.zip
macOS binaries: r-release (arm64): aglm_0.4.0.tgz, r-release (x86_64): aglm_0.4.0.tgz, r-oldrel: aglm_0.4.0.tgz

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