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RaJIVE  

Robust Angle Based Joint and Individual Variation Explained
View on CRAN: Click here


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

Install from Github:
library("remotes")
install_github("cran/RaJIVE")

Install by package version:
library("remotes")
install_version("RaJIVE", "1.0")



Attach the package and use:
library("RaJIVE")
Maintained by
Erica Ponzi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-02-04
Latest Update: 2021-02-04
Description:
A robust alternative to the aJIVE (angle based Joint and Individual Variation Explained) method (Feng et al 2018: ) for the estimation of joint and individual components in the presence of outliers in multi-source data. It decomposes the multi-source data into joint, individual and residual (noise) contributions. The decomposition is robust to outliers and noise in the data. The method is illustrated in Ponzi et al (2021) .
How to cite:
Erica Ponzi (2021). RaJIVE: Robust Angle Based Joint and Individual Variation Explained. R package version 1.0, https://cran.r-project.org/web/packages/RaJIVE. Accessed 21 Dec. 2024.
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