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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.

copied from cf-staging / r-gfa
Type Size Name Uploaded Downloads Labels
conda 155.4 kB | noarch/r-gfa-1.0.5-r44hc72bb7e_1.conda  1 year and 1 month ago 941 main
conda 157.0 kB | noarch/r-gfa-1.0.5-r43hc72bb7e_1.conda  1 year and 1 month ago 977 main
conda 156.8 kB | noarch/r-gfa-1.0.5-r42hc72bb7e_0.conda  1 year and 10 months ago 1248 main
conda 156.9 kB | noarch/r-gfa-1.0.5-r43hc72bb7e_0.conda  1 year and 10 months ago 1206 main

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