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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-post-staging / r-gfa
Type Size Name Uploaded Downloads Labels
conda 155.7 kB | noarch/r-gfa-1.0.5-r45hc72bb7e_2.conda  3 months and 4 days ago 226 main
conda 156.4 kB | noarch/r-gfa-1.0.5-r44hc72bb7e_2.conda  3 months and 4 days ago 231 main
conda 155.4 kB | noarch/r-gfa-1.0.5-r44hc72bb7e_1.conda  1 year and 5 months ago 1144 main
conda 157.0 kB | noarch/r-gfa-1.0.5-r43hc72bb7e_1.conda  1 year and 5 months ago 1165 main
conda 156.8 kB | noarch/r-gfa-1.0.5-r42hc72bb7e_0.conda  2 years and 2 months ago 1441 main
conda 156.9 kB | noarch/r-gfa-1.0.5-r43hc72bb7e_0.conda  2 years and 2 months ago 1387 main

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