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Nonnegative Matrix Factorization

0packages depend
3.7Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Nonnegative matrix factorization (NMF) is a technique to factorize a matrix with nonnegative values into the product of two matrices. Covariates are also allowed. Parallel computing is an option to enhance the speed and high-dimensional and large scale (and/or sparse) data are allowed. Relevant papers include: Sevinc V., Kontemeniotis N., Perdikis T. and Tsagris M. (2026). Non-negative matrix factorization using the R package nnmf doi:10.48550/arXiv.2607.20084, Wang Y. X. and Zhang Y. J. (2012). Nonnegative matrix factorization: A comprehensive review. IEEE Transactions on Knowledge and Data Engineering, 25(6): 1336-1353 doi:10.1109/TKDE.2012.51 and Kim H. and Park H. (2008). Nonnegative matrix factorization based on alternating nonnegativity constrained least squares and active set method. SIAM Journal on Matrix Analysis and Applications, 30(2): 713-730 doi:10.1137/07069239X.

Install

Health

CRAN checks
13OK
Slowest check: 5.9 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-07-29
  • ERROR12 OK, 1 ERROR2026-07-28
  • OK12 OK2026-04-25
Show 5 earlier changesHide 5 earlier changes
  • NOTE12 OK, 2 NOTE2026-04-22
  • ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
  • NOTE13 OK, 1 NOTE2026-03-18
  • OK14 OK2026-03-12
  • ERROR13 OK, 1 ERROR2026-03-10
Advisories

none known

Documentation

In release 1.6
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
9includes a package overview page
Examples that run
100%8 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
100%

Downloads

3.7K
CRAN downloads in the past year
Rank #16,239 · ~10/day · ~306/mo
Daily download trend is not available in this view yet.
25830 days
76490 days
3.7K1 year
Compare downloads with other packages →
Also on242 r2u3 autocran

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)

Installing nnmf adds 92 packages (57 with compiled code, 69 MB of source tarballs). Heaviest: BH 14 MB, ggplot2 6.0 MB, bslib 5.6 MB.

Depends (1)
R >= 4.0
LinkingTo (2)
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (3)
Author, Maintainer since 1.0 (2026)
Author · added in 1.3
Author · added in 1.3
Releases (5)

Pick two releases to compare their code metrics.

  • 1.6Latest
    record
    2026-07-27 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.4
    record
    2026-04-12 · diff ↗
  • 1.3
    record
    2026-03-17 · diff ↗ ·
    removed 2 exports
    pattern:^[[:alpha:]]+, pattern:^[^\\.]
    added 8 exports
    init, nmf.hals, nmf.manh, nmf.qp, nmf.sqp, nmfqp.cv, nmfqp.pred, nmfqp.reg
  • 1.1
    record
    2026-02-03 · diff ↗
  • 1.0
    record
    2026-01-09
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-01-09
Total releases
5 / 1 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.0
Download size
14 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("nnmf")
Tsagris, M., Adam, C., & Kontemeniotis, N. (2026). nnmf: Nonnegative Matrix Factorization (Version 1.6) [Computer software]. https://doi.org/10.32614/CRAN.package.nnmf

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 nnmf version 1.6 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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