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GFA

1.0.5

Group Factor Analysis

0packages depend
3.6Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Eemeli LeppäahoFirst published 2016-10-115 releasesCRAN page ↗

Factor analysis implementation for multiple data sources, i.e., for groups of variables. The whole data analysis pipeline is provided, including functions and recommendations for data normalization and model definition, as well as missing value prediction and model visualization. The model group factor analysis (GFA) is inferred with Gibbs sampling, and it has been presented originally by Virtanen et al. (2012), and extended in Klami et al. (2015) DOI:10.1109/TNNLS.2014.2376974 and Bunte et al. (2016) DOI:10.1093/bioinformatics/btw207; for details, see the citation info.

Install

Health

CRAN checks
13OK
Slowest check: 1.1 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
0
Dependencies · direct
Check history
  • OK2026-08-05
    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
READMENoVignettesNopkgdown siteNoNEWSYes · 0% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

3.6K
CRAN downloads in the past year
Rank #19,782 · ~10/day · ~301/mo
Daily download trend is not available in this view yet.
11930 days
56090 days
3.6K1 year
Compare downloads with other packages →
Also on87 r2u15 autocran1.4K conda_forge

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (7)
Maintainer (1)
Author, Maintainer · added in 1.0.4
Authors (2)
Author, Maintainer · added in 1.0.4
Contributors (5)
Contributor
Contributor
Contributor
Contributor
Listed in earlier versions (1)
no longer listed · 1.0.0 to 1.0.1
Package Timeline

5 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
  • 1.0.5Latest
    2023-10-21 · current release · diff ↗
  • 1.0.4
    2023-10-07 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 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
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 1.0.3
    2017-08-04 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 1.0.1
    2017-03-17 · diff ↗
  • 1.0.0
    2016-10-11
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2016-10-11
Total releases
5 / 10 yrs
License
MIT + file LICENSE OSI
Download size
36 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GFA")
Leppäaho, E., Ammad-ud-din, M., Kaski, S., Khan, S. A., Saarinen, I., Suvitaival, T., & Virtanen, S. (2023). GFA: Group Factor Analysis (Version 1.0.5) [Computer software]. https://doi.org/10.32614/CRAN.package.GFA

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 GFA version 1.0.5 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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