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: | 1.0.1 |
| Published: | 2017-03-17 |
| Author: | Eemeli Leppaaho [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 Leppaaho <eemeli.leppaaho at aalto.fi> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Citation: | GFA citation info |
| Materials: | NEWS |
| CRAN checks: | GFA results |
| Reference manual: | GFA.pdf |
| Package source: | GFA_1.0.1.tar.gz |
| Windows binaries: | r-devel: GFA_1.0.1.zip, r-release: GFA_1.0.1.zip, r-oldrel: GFA_1.0.1.zip |
| OS X El Capitan binaries: | r-release: GFA_1.0.1.tgz |
| OS X Mavericks binaries: | r-oldrel: GFA_1.0.1.tgz |
| Old sources: | GFA archive |
Please use the canonical form https://CRAN.R-project.org/package=GFA to link to this page.