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MatrixModels

0.5-4Package record

Modelling with Sparse and Dense Matrices

9packages dependsuggested by 3
5.1Mdownloads / year
5.0%test coverage
13/13flavors OK

Overview

About

Generalized Linear Modelling with sparse and dense 'Matrix' matrices, using modular prediction and response module classes.

Install

Health

CRAN checks
13OK
Slowest check: 1.7 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK12 OK2026-04-25
Show 1 earlier changeHide 1 earlier change
  • NOTE11 OK, 3 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.5-4
READMENoVignettesNoNEWSNoCitation fileNoWebsiteYes
Help pages
14
Examples that run
62%8 run in a plain check · 5 hold no code
Exported functions with examples
100%
Documented parameters
95%
Return-value docs
100%
Help pages citing references
43%

Downloads

5.1M
CRAN downloads in the past year
Rank #142 · ~14.1K/day · ~427.6K/mo
Daily download trend is not available in this view yet.
374.1K30 days
1.3M90 days
5.1M1 year
Compare downloads with other packages →
Also on72.6K r2u145 autocran139.8K conda_forge2.7K c2d4u

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)

Installing MatrixModels adds no packages beyond those that come with R.

Depends (1)
R >= 3.6.0
Imports (4)
statsmethodsMatrixMatrix
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
9direct
1,378indirect
Depends 1 · Imports 8
Suggested by 3
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

People & History

People (2)
Author, Maintainer since 0.1-1 (2010)
Releases (11)

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
  • 0.5-4Latest
    record
    2025-03-26 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 0.5-3
    record
    2023-11-06 · diff ↗
  • 0.5-2
    record
    2023-07-11 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.5-1
    record
    2022-09-11 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.5-0
    record
    2021-03-02 · diff ↗
  • 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
Show 14 earlier eventsHide 14 earlier events
  • 0.4-1
    record
    2015-08-22 · diff ↗
  • R
    R 3.2.0 released · 2015-04-16
  • 0.4-0
    record
    2015-01-14 · diff ↗
  • R
    R 3.1.0 released · 2014-04-10
  • 0.3-1.1
    record
    2014-02-12 · diff ↗
  • R
    R 3.0.0 released · 2013-04-03
  • R
    R 2.15.0 released · 2012-03-30
  • 0.3-1
    record
    2012-01-12 · diff ↗ ·
    removed 1 export
    getCall
  • R
    R 2.14.0 released · 2011-10-31
  • R
    R 2.13.0 released · 2011-04-13
  • R
    R 2.12.0 released · 2010-10-15
  • 0.2-1
    record
    2010-09-21 · diff ↗ ·
    added 4 exports
    solveCoef, reweightPred, updateMu, updateWts
  • 0.1-1
    record
    2010-08-05
  • R
    R 2.11.0 released · 2010-04-22

Package metadata

First published
2010-08-05
Total releases
11 / 16 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.6.0
Download size
24 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MatrixModels")
Maechler, M., & Bates, D. (2025). MatrixModels: Modelling with Sparse and Dense Matrices (Version 0.5-4) [Computer software]. https://doi.org/10.32614/CRAN.package.MatrixModels

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 MatrixModels version 0.5-4 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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