aglm
0.4.1Accurate Generalized Linear Model
Overview
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.
Install
Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 98%
- Return-value docs
- 100%
- References docs
- 32%
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Checks run against github.com/kkondo1981/aglm on 2026-07-26.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.4.1Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 0.4.02021-06-09
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2021-06-09
- Total releases
- 2 / 5 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 4.0.0
- Download size
- 44 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet