Package: GFA 1.0.5

GFA: Group Factor Analysis

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.

Authors:Eemeli Leppäaho [aut, cre], Seppo Virtanen [aut], Muhammad Ammad-ud-din [ctb], Suleiman A Khan [ctb], Tommi Suvitaival [ctb], Inka Saarinen [ctb], Samuel Kaski [ctb]

GFA_1.0.5.tar.gz
GFA_1.0.5.zip(r-4.5)GFA_1.0.5.zip(r-4.4)GFA_1.0.5.zip(r-4.3)
GFA_1.0.5.tgz(r-4.5-any)GFA_1.0.5.tgz(r-4.4-any)GFA_1.0.5.tgz(r-4.3-any)
GFA_1.0.5.tar.gz(r-4.5-noble)GFA_1.0.5.tar.gz(r-4.4-noble)
GFA_1.0.5.tgz(r-4.4-emscripten)GFA_1.0.5.tgz(r-4.3-emscripten)
GFA.pdf |GFA.html
GFA/json (API)
NEWS

# Install 'GFA' in R:
install.packages('GFA', repos = c('https://eemeii.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.05 score 1 packages 37 scripts 326 downloads 34 mentions 9 exports 0 dependencies

Last updated 1 years agofrom:d83e91adc3. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 14 2025
R-4.5-winOKFeb 14 2025
R-4.5-macOKFeb 14 2025
R-4.5-linuxOKFeb 14 2025
R-4.4-winOKFeb 14 2025
R-4.4-macOKFeb 14 2025
R-4.3-winOKFeb 14 2025
R-4.3-macOKFeb 14 2025

Exports:getDefaultOptsgfainformativeNoisePriornormalizeDatareconstructionrobustComponentssequentialGfaPredictionundoNormalizeDatavisualizeComponents

Dependencies: