CCAGFA: Bayesian Canonical Correlation Analysis and Group Factor Analysis

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

Downloads:

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 binaries: r-release: CCAGFA_1.0.8.tgz, r-oldrel: CCAGFA_1.0.8.tgz
Old sources: CCAGFA archive

Reverse dependencies:

Reverse imports: cocoreg

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