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r.jive  

Perform JIVE Decomposition for Multi-Source Data
View on CRAN: Click here


Download and install r.jive package within the R console
Install from CRAN:
install.packages("r.jive")

Install from Github:
library("remotes")
install_github("cran/r.jive")

Install by package version:
library("remotes")
install_version("r.jive", "2.4")



Attach the package and use:
library("r.jive")
Maintained by
Michael J. O'Connell
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-12-24
Latest Update: 2020-11-17
Description:
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.
How to cite:
Michael J. O'Connell (2015). r.jive: Perform JIVE Decomposition for Multi-Source Data. R package version 2.4, https://cran.r-project.org/web/packages/r.jive. Accessed 06 Nov. 2024.
Previous versions and publish date:
1.2 (2015-12-24 13:46), 1.4 (2016-04-11 00:47), 1.5 (2016-06-14 08:29), 1.7 (2016-07-25 10:12), 2.1 (2017-04-12 15:41)
Other packages that cited r.jive R package
View r.jive citation profile
Other R packages that r.jive depends, imports, suggests or enhances
Complete documentation for r.jive
Functions, R codes and Examples using the r.jive R package
Some associated functions: Data . SVDmiss . SimData . SimResults . jive . jive.predict . pjsum . plot.jive . r.jive-package . show.image . showHeatmaps . showPCA . showVarExplained . summary.jive . svdwrapper . 
Some associated R codes: Full r.jive package functions and examples
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