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-any)GFA_1.0.5.zip(r-4.6-any)GFA_1.0.5.zip(r-4.5-any)
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✨
DESCRIPTION |NEWS
card.svg |card.png
GFA/json (API)

# 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.

3.19 score 1 packages 52 scripts 270 downloads 34 mentions 9 exports 0 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK124
source / vignettesOK175
linux-releaseOK110
macos-releaseOK136
macos-oldrelOK207
windows-develOK59
windows-releaseOK57
windows-oldrelOK61
wasm-releaseOK110

Exports:getDefaultOptsgfainformativeNoisePriornormalizeDatareconstructionrobustComponentssequentialGfaPredictionundoNormalizeDatavisualizeComponents

Dependencies: