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.

Version:	1.0.3
Published:	2017-08-04
Author:	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]
Maintainer:	Eemeli Leppäaho <eemeli.leppaaho at gmail.com>
License:	MIT + file LICENSE
NeedsCompilation:	no
Citation:	GFA citation info
Materials:	NEWS
CRAN checks:	GFA results

Documentation:

Reference manual:

GFA.pdf

Downloads:

Package source:	GFA_1.0.3.tar.gz
Windows binaries:	r-devel: GFA_1.0.3.zip, r-release: GFA_1.0.3.zip, r-oldrel: GFA_1.0.3.zip
macOS binaries:	r-release (arm64): GFA_1.0.3.tgz, r-oldrel (arm64): GFA_1.0.3.tgz, r-release (x86_64): GFA_1.0.3.tgz, r-oldrel (x86_64): GFA_1.0.3.tgz
Old sources:	GFA archive

Reverse dependencies:

Reverse imports:

miRSM

Linking:

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