CMF

R package for finding a joint low-rank representation for a collection of matrices with shared row or column entities.

https://github.com/cyianor/cmf

Science Score: 20.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: arxiv.org
  • Committers with academic emails
    1 of 2 committers (50.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (7.6%) to scientific vocabulary

Keywords

bayesian-inference cmf data-integration r-package
Last synced: 6 months ago · JSON representation

Repository

R package for finding a joint low-rank representation for a collection of matrices with shared row or column entities.

Basic Info
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Topics
bayesian-inference cmf data-integration r-package
Created over 4 years ago · Last pushed almost 3 years ago
Metadata Files
Readme License

README.md

Collective Matrix Factorization

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). 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) and Virtanen et al. (2012) for details on Bayesian CCA and GFA, respectively.

  • Original package authors: Arto Klami and Lauri Väre
  • Maintainer: Felix Held

Install development version

To install the development version from GitHub, run

r devtools::install_github("cyianor/CMF")

New features will be available here first.

Install CRAN version

To install the official CRAN version it is enough to run

r install.packages("CMF")

Owner

  • Name: Felix Held
  • Login: cyianor
  • Kind: user
  • Company: University of Gothenburg

Graduate student in biostatistics

GitHub Events

Total
Last Year

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 50
  • Total Committers: 2
  • Avg Commits per committer: 25.0
  • Development Distribution Score (DDS): 0.06
Past Year
  • Commits: 16
  • Committers: 1
  • Avg Commits per committer: 16.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Felix Held f****d@g****m 47
Felix Held f****d@c****e 3
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 289 last-month
  • Total docker downloads: 21,154
  • Total dependent packages: 1
  • Total dependent repositories: 1
  • Total versions: 4
  • Total maintainers: 1
cran.r-project.org: CMF

Collective Matrix Factorization

  • Versions: 4
  • Dependent Packages: 1
  • Dependent Repositories: 1
  • Downloads: 289 Last month
  • Docker Downloads: 21,154
Rankings
Docker downloads count: 12.6%
Dependent packages count: 18.1%
Forks count: 21.0%
Dependent repos count: 23.9%
Average: 24.2%
Stargazers count: 30.9%
Downloads: 38.7%
Maintainers (1)
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • stats * imports