Canonical Joint and Individual Variation Explained (CJIVE)
Overview
Joint and Individual Variation Explained (JIVE) is a method for decomposing multiple datasets obtained on the same subjects into shared structure, structure unique to each dataset, and noise. The two most common implementations are R.JIVE, an iterative approach, and AJIVE, which uses principal angle analysis. JIVE estimates subspaces but interpreting these subspaces can be challenging with AJIVE or R.JIVE. We expand upon insights into AJIVE as a canonical correlation analysis (CCA) of principal component scores. This reformulation, which we call CJIVE, 1) provides an ordering of joint components by the degree of correlation between corresponding canonical variables; 2) uses a computationally efficient permutation test for the number of joint components, which provides a p-value for each component; and 3) can be used to predict subject scores for out-of-sample observations. Please cite the following article when utilizing this package: Murden, R., Zhang, Z., Guo, Y., & Risk, B. (2022) doi:10.3389/fnins.2022.969510.
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Raphiel Murden <rmurden@emory.edu>’ Package CITATION file contains call(s) to old-style citEntry(). Please use bibentry() instead.
- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 22
- Examples that run
- 100%5 run in a plain check
- Exported functions with examples
- 23%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.1.0Latest2023-01-20 · current release
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2023-01-20
- Total releases
- 1 / 3 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 25 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("CJIVE")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.3389/fnins.2022.969510.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.