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

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2.2Kdownloads / year
0.0%test coverage
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Overview

About

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.

Changes in 1.1
  • Updated format of output tables.
  • 95% Confidence Interval is added for each coefficients of estimates

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 7.8 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • NOTE12 OK, 1 NOTE2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.1
READMEYes · 108 wordsVignettesYes · 3 · dynamicNEWSYes · 100% structured · mentions 1.1Citation fileNoWebsiteYes · pkgdown
Help pages
4
Examples that run
100%4 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
75%

Downloads

2.2K
CRAN downloads in the past year
Rank #21,404 · ~6/day · ~180/mo
Daily download trend is not available in this view yet.
23030 days
62090 days
2.2K1 year
Compare downloads with other packages →
Also on74 r2u6 autocran

Repository

0Stars
0Forks
1Open issues
0Open PRs
1Releases
18Commits
1Commit identities
License file reads as GPL-3.0 · 18 commits · Last activity 2024-07-30
Responsiveness
not measured

Releases over time

2024-07-05 · 12026-07-07 · 1
PracticesBeta

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

Checks run against github.com/nayemmh/drglm on 2026-10-21.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux

Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2024-07-30 · The repository has a site deploy workflow

pkgdown site last built 2024-07-30

Coverage (1)
Coverage reporting (Codecov)
Reproducibility and dev environment (1)
renv
Show all practicesHide 2 practices
CRAN release process (3)
cran-comments.mdrevdep/CRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing drglm adds 3 packages (1 with compiled code, 772 KB of source tarballs). Heaviest: DBI 727 KB, speedglm 32 KB, biglm 13 KB.

Depends (1)
R >= 3.5.0
Imports (3)
nnetspeedglmstats
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 1.0 (2024)
Releases (2)

Pick two releases to compare their code metrics.

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

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 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 drglm version 1.1 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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