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drglm

1.1

Fitting Linear and Generalized Linear Models in "Divide and Recombine" Approach to Large Data Sets

0packages depend
2Kdownloads / year
0.0%test coverage
13/13checks pass

Overview

About
Maintained by Md. Mahadi Hassan NayemFirst published 2024-07-122 releasesCRAN page ↗

To overcome the memory limitations for fitting linear (LM) and Generalized Linear Models (GLMs) to large data sets, this package implements the Divide and Recombine (D&R) strategy. It basically divides the entire large data set into suitable subsets manageable in size and then fits model to each subset. Finally, results from each subset are aggregated to obtain the final estimate. This package also supports fitting GLMs to data sets that cannot fit into memory and provides methods for fitting GLMs under linear regression, binomial regression, Poisson regression, and multinomial logistic regression settings. Respective models are fitted using different D&R strategies as described by: Xi, Lin, and Chen (2009) doi:10.1109/TKDE.2008.186, Xi, Lin and Chen (2006) doi:10.1109/TKDE.2006.196, Zuo and Li (2018) doi:10.4236/ojs.2018.81003, Karim, M.R., Islam, M.A. (2019) doi:10.1007/978-981-13-9776-9.

Install

Health

CRAN checks
13OK
Slowest check: 23.2 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.02
0.0%
Coverage · measured lines
100%
Documentation · exports
3
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-06-08
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 108 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
75%

Downloads

2K
CRAN downloads in the past year
Rank #21,690 · ~6/day · ~169/mo
Daily download trend is not available in this view yet.
14030 days
50690 days
2K1 year
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Repository

Repository
0Stars
0Forks
1Open issues
0Open PRs
1Releases
18Commits
1Contributors
License GPL-3.0 · 18 commits · Last activity 2024-07-30

Releases over time

2024-07-05 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

8 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/nayemmh/drglm on 2026-08-16.

Continuous integration (1)
GitHub Actions
Reproducibility and dev environment (1)
renv
CRAN release process (3)
cran-comments.mdrevdep/CRAN-SUBMISSION
Docs source (1)
README.Rmd
Show all practices
Lint, format, editor (1)
RStudio project
Coverage (1)
Codecov
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (3)
nnetspeedglmstats
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 1.1Latest
    2024-07-30 · current release · diff ↗
  • 1.0
    2024-07-12
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-07-12
Total releases
2 / 2 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.5.0
Download size
29 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("drglm")
Nayem, M. M. H. (2024). drglm: Fitting Linear and Generalized Linear Models in "Divide and Recombine" Approach to Large Data Sets (Version 1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.drglm

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 drglm version 1.1 [Data set]. HJJB, LLC. Data release v2026-08-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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