Variational Bayesian algorithms for learning canonical correlation analysis (CCA), inter-battery factor analysis (IBFA), and group factor analysis (GFA). Inference with several random initializations can be run with the functions CCAexperiment() and GFAexperiment().
| Version: | 1.0.8 |
| Published: | 2015-12-17 |
| Author: | Seppo Virtanen [aut, cre], Eemeli Leppaaho [aut], Arto Klami [aut] |
| Maintainer: | Seppo Virtanen <s.virtanen at warwick.ac.uk> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://research.ics.aalto.fi/mi/ |
| NeedsCompilation: | no |
| Citation: | CCAGFA citation info |
| Materials: | NEWS |
| CRAN checks: | CCAGFA results |
| Reference manual: | CCAGFA.pdf |
| Package source: | CCAGFA_1.0.8.tar.gz |
| Windows binaries: | r-devel: CCAGFA_1.0.8.zip, r-release: CCAGFA_1.0.8.zip, r-oldrel: CCAGFA_1.0.8.zip |
| OS X El Capitan binaries: | r-release: CCAGFA_1.0.8.tgz |
| OS X Mavericks binaries: | r-oldrel: CCAGFA_1.0.8.tgz |
| Old sources: | CCAGFA archive |
| Reverse imports: | cocoreg |
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