r.jive: 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) <doi:10.1093/bioinformatics/btw324>]. 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.

Package details

AuthorMichael J. O'Connell [aut, cre], Eric F. Lock [aut], Adam Kaplan [ctb]
MaintainerMichael J. O'Connell <oconnemj@miamioh.edu>
Package repositoryView on CRAN
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r.jive documentation built on Nov. 17, 2020, 9:07 a.m.