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) and Bunte et al. (2016) ; for details, see the citation info.


News

Changes in GFA version 1.0.1

o Improved code readability and modularity

Changes in GFA version 1.0.2

o Fixed a small error in visualizeComponents, when number of modes is two.

Changes in GFA version 1.0.3

o Updated citation info and maintainer email.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("GFA")

1.0.3 by Eemeli Leppäaho, 4 years ago


Browse source code at https://github.com/cran/GFA


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]


Documentation:   PDF Manual  


MIT + file LICENSE license



See at CRAN