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Accurate Generalized Linear Model

0packages depend
4.3Kdownloads / year
53.7%test coverage
13/13flavors OK

Overview

About

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.

Changes in 0.4.1
  • Fixed some notes on CRAN checks (without feature changes).

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.9 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.4.1
READMEYes · 64 wordsVignettesNoNEWSYes · 100% structured · mentions 0.4.1Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
19includes a package overview page
Examples that run
100%5 run in a plain check
Exported functions with examples
33%
Documented parameters
98%
Return-value docs
100%
Help pages citing references
32%

Downloads

4.3K
CRAN downloads in the past year
Rank #5,148 · ~12/day · ~360/mo
Daily download trend is not available in this view yet.
40730 days
1.6K90 days
4.3K1 year
Compare downloads with other packages →
Also on84 r2u23 autocran

Repository

18Stars
5Forks
3Open issues
2Open PRs
1Releases
218Commits
2Commit identities
actuarial-modeling
License file reads as GPL-2.0 · 218 commits · Last activity 2025-05-11 · +5.9% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
95%
Median days to close, 50 most recently updated closed issues
11
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2024-09-10 · 152026-10-13 · 18
PracticesBeta

5 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/kkondo1981/aglm on 2026-10-11.

Continuous integration (1)
GitHub Actions
Governance and community (1)
Issue templates
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing aglm adds 8 packages (3 with compiled code, 10 MB of source tarballs). Heaviest: mathjaxr 3.0 MB, glmnet 2.7 MB, Rcpp 1.8 MB.

Depends (1)
R >= 4.0.0
Imports (4)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (3)
Author, Maintainer since 0.4.0 (2021), Copyright holder
Contributor
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.4.1Latest
    record
    2025-05-12 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.4.0
    record
    2021-06-09
  • R
    R 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

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("aglm")
Kondo, K., Banno, H., & Takahashi, K. (2026). aglm: Accurate Generalized Linear Model (Version 0.4.1) [Computer software]. https://doi.org/10.32614/CRAN.package.aglm

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for aglm version 0.4.1 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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