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-4.4-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'))

Peer review:

On CRAN:

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

3.03 score 1 packages 36 scripts 349 downloads 34 mentions 9 exports 0 dependencies

Last updated 1 years agofrom:d83e91adc3. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 16 2024
R-4.5-winOKNov 16 2024
R-4.5-linuxOKNov 16 2024
R-4.4-winOKNov 16 2024
R-4.4-macOKNov 16 2024
R-4.3-winOKNov 16 2024
R-4.3-macOKNov 16 2024

Exports:getDefaultOptsgfainformativeNoisePriornormalizeDatareconstructionrobustComponentssequentialGfaPredictionundoNormalizeDatavisualizeComponents

Dependencies: