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CJIVE

0.1.0Package record

Canonical Joint and Individual Variation Explained (CJIVE)

0packages depend
2.7Kdownloads / year
2.3%test coverage
11/13flavors OK

Overview

About

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

CRAN checks
2NOTE11OK
Check messages
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.

CRAN check page ↗

Slowest check: 1.6 min · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.1.0
READMEYes · 154 wordsVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
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

2.7K
CRAN downloads in the past year
Rank #17,362 · ~7/day · ~225/mo
Daily download trend is not available in this view yet.
30630 days
72990 days
2.7K1 year
Compare downloads with other packages →
Also on79 r2u14 autocran

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing CJIVE adds 35 packages (21 with compiled code, 45 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, gplots 4.6 MB.

Depends (0)
none
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer since 0.1.0 (2023)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.0Latest
    2023-01-20 · current release
  • R
    R 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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for CJIVE version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

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.

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