R Observatory: Metrics for CMF version 1.0.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

CMF

1.0.3

Collective Matrix Factorization

0packages depend

3.1Kdownloads / year

–test coverage

11/13checks pass

Overview

About

Maintained by Felix HeldFirst published 2014-03-254 releasesCRAN page ↗GitHub ↗

Collective matrix factorization (CMF) finds joint low-rank representations for a collection of matrices with shared row or column entities. This code learns a variational Bayesian approximation for CMF, supporting multiple likelihood potentials and missing data, while identifying both factors shared by multiple matrices and factors private for each matrix. For further details on the method see Klami et al. (2014) arXiv:1312.5921. The package can also be used to learn Bayesian canonical correlation analysis (CCA) and group factor analysis (GFA) models, both of which are special cases of CMF. This is likely to be useful for people looking for CCA and GFA solutions supporting missing data and non-Gaussian likelihoods. See Klami et al. (2013) https://research.cs.aalto.fi/pml/online-papers/klami13a.pdf and Virtanen et al. (2012) http://proceedings.mlr.press/v22/virtanen12.html for details on Bayesian CCA and GFA, respectively.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("CMF", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("cyianor/CMF")

Development version from cyianor/CMF. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-cmf

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-CMF

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-CMF

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

2NOTE11OK

Failing flavors

NOTE r-devel-linux-x86_64-debian-clang
NOTE r-devel-linux-x86_64-debian-gcc

Slowest check: 2.0 min · r-devel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

1

Dependencies · direct

Check history

NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 176 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 38%

Downloads

3.1K

CRAN downloads in the past year

Rank #12,526 · ~9/day · ~261/mo

Releases R versions

Daily download trend is not available in this view yet.

20130 days

79790 days

3.1K1 year

Compare downloads with other packages →

Also on405 r2u9 autocran75 c2d4u

Repository

GitHub ↗ cyianor/cmf

2Stars

1Forks

0Open issues

0Open PRs

2Releases

51Commits

1Contributors

bayesian-inferencecmfdata-integrationr-package

License GPL-2.0 · 51 commits · Last activity 2026-07-10 · 0% stars, 30d

Stars over time

2022-08-10 · 12026-07-07 · 2

Repository practices

Upstream repositoryBeta

Checks run against github.com/cyianor/cmf on 2026-08-16.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

1 external dependency (excludes base and recommended)

Depends (0)

none

Imports (1)

stats

LinkingTo (1)

cpp11

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)

Maintainer (1)

Felix Held

Contributor, Maintainer · added in 1.0.2

Authors (2)

Arto Klami

Author

Lauri Väre

Author

Contributors (1)

Felix Held

Contributor, Maintainer · added in 1.0.2

Package Timeline

4 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
1.0.3Latest
2022-08-09 · current release · diff ↗
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
1.0.2
2020-03-14 · diff ↗
1.0.1
2020-03-12 · diff ↗
unarchivedReturned to CRAN
2020-03-12
archivedRemoved from CRAN
2020-03-07
check problems were not corrected despite reminders
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 4 earlier events

R
R 3.2.0 released · 2015-04-16
R
R 3.1.0 released · 2014-04-10
1.0
2014-03-25
R
R 3.0.0 released · 2013-04-03

Package metadata

First published: 2014-03-25
Total releases: 4 / 12 yrs
License: GPL (>= 2) OSI
Download size: 18 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Missing Data

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("CMF")

Format

Held, F., Klami, A., & Väre, L. (2022). CMF: Collective Matrix Factorization (Version 1.0.3) [Computer software]. https://doi.org/10.32614/CRAN.package.CMF

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for CMF version 1.0.3 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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