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.

Package details

AuthorEemeli Leppäaho [aut, cre], Seppo Virtanen [aut], Muhammad Ammad-ud-din [ctb], Suleiman A Khan [ctb], Tommi Suvitaival [ctb], Inka Saarinen [ctb], Samuel Kaski [ctb]
MaintainerEemeli Leppäaho <eemeli.leppaaho@gmail.com>
LicenseMIT + file LICENSE
Version1.0.5
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("GFA")

Try the GFA package in your browser

Any scripts or data that you put into this service are public.

GFA documentation built on Oct. 21, 2023, 5:06 p.m.