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vrnmf

1.0.2

Volume-Regularized Structured Matrix Factorization

0packages depend
2.6Kdownloads / year
17.1%test coverage
13/13checks pass

Overview

About
Maintained by Evan BiederstedtFirst published 2021-08-203 releasesCRAN page ↗GitHub ↗

Implements a set of routines to perform structured matrix factorization with minimum volume constraints. The NMF procedure decomposes a matrix X into a product C * D. Given conditions such that the matrix C is non-negative and has sufficiently spread columns, then volume minimization of a matrix D delivers a correct and unique, up to a scale and permutation, solution (C, D). This package provides both an implementation of volume-regularized NMF and "anchor-free" NMF, whereby the standard NMF problem is reformulated in the covariance domain. This algorithm was applied in Vladimir B. Seplyarskiy Ruslan A. Soldatov, et al. "Population sequencing data reveal a compendium of mutational processes in the human germ line". Science, 12 Aug 2021. doi:10.1126/science.aba7408. This package interacts with data available through the 'simulatedNMF' package, which is available in a 'drat' repository. To access this data package, see the instructions at https://github.com/kharchenkolab/vrnmf. The size of the 'simulatedNMF' package is approximately 8 MB.

Install

Health

CRAN checks
13OK
Slowest check: 1.5 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.02
17.1%
Coverage · measured lines
100%
Documentation · exports
8
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    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 · 565 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

2.6K
CRAN downloads in the past year
Rank #17,529 · ~7/day · ~214/mo
Daily download trend is not available in this view yet.
14230 days
63490 days
2.6K1 year
Compare downloads with other packages →
Also on87 r2u25 autocran

Repository

Repository
18Stars
4Forks
0Open issues
0Open PRs
4Releases
117Commits
4Contributors
117 commits · Last activity 2022-04-14 · 0% stars, 30d

Stars over time

2022-07-09 · 172026-07-07 · 18

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/kharchenkolab/vrnmf on 2026-08-23.

Continuous integration (2)
Travis CICircleCI
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.1
Imports (8)
graphicsicalpSolveAPIMatrixnnlsparallelquadprogstats
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (4)
Maintainer (1)
Maintainer, Author
Authors (4)
Maintainer, Author
Author · added in 1.0.1
Package Timeline

3 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
  • 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
  • 1.0.2Latest
    2022-02-25 · current release · diff ↗
  • 1.0.1
    2022-01-14 · diff ↗
  • 1.0.0
    2021-08-20
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-08-20
Total releases
3 / 5 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.1
Download size
20 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("vrnmf")
Biederstedt, E., Kharchenko, P., Petukhov, V., & Soldatov, R. (2022). vrnmf: Volume-Regularized Structured Matrix Factorization (Version 1.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.vrnmf

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 vrnmf version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-08-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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