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.
| Version: |
2.4 |
| Depends: |
R (≥ 2.10.0) |
| Imports: |
gplots, abind, graphics, stats |
| Suggests: |
knitr, rmarkdown |
| Published: |
2020-11-17 |
| Author: |
Michael J. O'Connell [aut, cre],
Eric F. Lock [aut],
Adam Kaplan [ctb] |
| Maintainer: |
Michael J. O'Connell <oconnemj at miamioh.edu> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
r.jive results |
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