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)
Changes in GFA version 1.0.1
o Improved code readability and modularity
Changes in GFA version 1.0.2
o Fixed a small error in visualizeComponents, when number of modes is two.
Changes in GFA version 1.0.3
o Updated citation info and maintainer email.