Perform JIVE Decomposition for Multi-Source Data

Performs the Joint and Individual Variation Explained (JIVE) decomposition on a list of data sets when the data share a dimension, returning low-rank matrices that capture the joint and individual structure of the data [O'Connell, MJ and Lock, EF (2016) ]. It provides two methods of rank selection when the rank is unknown, a permutation test and a Bayesian Information Criterion (BIC) selection algorithm. Also included in the package are three plotting functions for visualizing the variance attributed to each data source: a bar plot that shows the percentages of the variability attributable to joint and individual structure, a heatmap that shows the structure of the variability, and principal component plots.


Reference manual

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2.4 by Michael J. O'Connell, a year ago

Browse source code at

Authors: Michael J. O'Connell [aut, cre] , Eric F. Lock [aut] , Adam Kaplan [ctb]

Documentation:   PDF Manual  

GPL-3 license

Imports gplots, abind, graphics, stats

Suggests knitr, rmarkdown

Imported by multiblock.

See at CRAN