Other packages > Find by keyword >

GFA  

Group Factor Analysis
View on CRAN: Click here


Download and install GFA package within the R console
Install from CRAN:
install.packages("GFA")

Install from Github:
library("remotes")
install_github("cran/GFA")

Install by package version:
library("remotes")
install_version("GFA", "1.0.5")



Attach the package and use:
library("GFA")
Maintained by
Eemeli Leppäaho
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-10-11
Latest Update: 2023-10-21
Description:
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) and Bunte et al. (2016) ; for details, see the citation info.
How to cite:
Eemeli Leppäaho (2016). GFA: Group Factor Analysis. R package version 1.0.5, https://cran.r-project.org/web/packages/GFA. Accessed 29 Oct. 2026.
Previous versions and publish date:
1.0.0 (2016-10-11 18:56), 1.0.1 (2017-03-17 14:01), 1.0.3 (2017-08-04 10:54), 1.0.4 (2023-10-07 12:30), (2026-07-09 08:04)
Other packages that cited GFA R package
View GFA citation profile
Other R packages that GFA depends, imports, suggests or enhances
Complete documentation for GFA
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
binovisualfields  
Depth-Dependent Binocular Visual Fields Simulation
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency  
personalized2part  
Two-Part Estimation of Treatment Rules for Semi-Continuous Data
Implements the methodology of Huling, Smith, and Chen (2020) , w ...
Download / Learn more Package Citations See dependency  
GEVcdn  
GEV Conditional Density Estimation Network
Implements a flexible nonlinear modelling framework for nonstationary generalized extreme value anal ...
Download / Learn more Package Citations See dependency  
fastRG  
Sample Generalized Random Dot Product Graphs in Linear Time
Samples generalized random product graphs, a generalization of a broad class of network models. Giv ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA