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randomGLM

1.10-1Package record

Random General Linear Model Prediction

0packages depend
3.5Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

A bagging predictor based on generalized linear models (GLMs) is implemented. The method is published in Song, Langfelder and Horvath (2013) doi:10.1186/1471-2105-14-5.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Peter Langfelder <peter.langfelder@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Lin",
                      family = "Song",
                      role = "aut"),
               person(given = "Peter",
                      family = "Langfelder",
                      role = c("aut", "cre"),
                      email = "peter.langfelder@gmail.com"))
as necessary.

CRAN check page ↗

Slowest check: 2.8 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-06-09
  • ERROR11 OK, 1 NOTE, 1 ERROR2026-06-08
  • NOTE12 OK, 2 NOTE2026-04-10
  • ERROR12 OK, 1 NOTE, 1 ERROR2026-04-09
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.10-1
READMENoVignettesNoNEWSNoCitation fileNoWebsiteYes
Help pages
6
Examples that run
100%6 run in a plain check
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
100%

Downloads

3.5K
CRAN downloads in the past year
Rank #15,558 · ~10/day · ~293/mo
Daily download trend is not available in this view yet.
30530 days
78990 days
3.5K1 year
Compare downloads with other packages →
Also on102 r2u7 autocran21 c2d4u

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing randomGLM adds 62 packages (30 with compiled code, 56 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (4)
R >= 4.0.0MASSforeachdoParallel
Imports (5)
HmiscgeometrysurvivalmatrixStatsparallel
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (from the free-text Author field) (2)

Maintainer since 1.00-1 (2013)

Releases (3)

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
  • 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
  • unarchivedReturned to CRAN
    2022-04-11
  • 1.10-1Latest
    record
    2022-04-11 · current release · diff ↗
  • archivedRemoved from CRAN
    2021-06-08
    check issues were not corrected in time
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • R
    R 3.1.0 released · 2014-04-10
Show 4 earlier eventsHide 4 earlier events
  • R
    R 3.0.0 released · 2013-04-03
  • 1.02-1
    record
    2013-01-30 · diff ↗
  • 1.00-1
    record
    2013-01-14
  • R
    R 2.15.0 released · 2012-03-30

Package metadata

First published
2013-01-14
Total releases
3 / 13 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.0.0
Bundled data
3.3 MB / 3 files
Download size
3.3 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("randomGLM")

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 randomGLM version 1.10-1 [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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