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-4.7)GFA_1.0.5.zip(r-4.6)GFA_1.0.5.zip(r-4.5)
GFA_1.0.5.tgz(r-4.6-any)GFA_1.0.5.tgz(r-4.5-any)
GFA_1.0.5.tar.gz(r-4.7-any)GFA_1.0.5.tar.gz(r-4.6-any)
GFA_1.0.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
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:

Conda:

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

3.15 score 1 packages 47 scripts 300 downloads 34 mentions 9 exports 0 dependencies

Last updated from:d83e91adc3. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK99
source / vignettesOK145
linux-release-x86_64OK105
macos-release-arm64OK125
macos-oldrel-arm64OK162
windows-develOK67
windows-releaseOK77
windows-oldrelOK71
wasm-releaseOK84

Exports:getDefaultOptsgfainformativeNoisePriornormalizeDatareconstructionrobustComponentssequentialGfaPredictionundoNormalizeDatavisualizeComponents

Dependencies: