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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

Installers

Info: This package contains files in non-standard labels.
  • noarch v1.0.5

conda install

To install this package run one of the following:
conda install conda-forge::r-gfa
conda install conda-forge/label/cf201901::r-gfa
conda install conda-forge/label/cf202003::r-gfa
conda install conda-forge/label/gcc7::r-gfa

Description


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