Skip to content

mkomod/rcca

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

45 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

rcca

An R package for Sparse Canonical Correlation Analysis (CCA).

An implementation of the sparse CCA method proposed by Suo et al. (2017) extended to produce multiple canonical vector pairs (Rodosthenous et al 2020).

Installation

With devtools

library(devtools)
devtools::install_github("mkomod/rcca")

From source

$ git clone https://github.com/mkomod/rcca
$ R CMD build rcca
$ R CMD INSTALL rcca_0.0.0.9000.tar.gz

Note: the version number _0.0.0.9000 might be different

References

Suo, X., Minden, V., Nelson, B., Tibshirani, R., & Saunders, M. (2017). Sparse canonical correlation analysis. Machine Learning, 83(3), 331–353. https://doi.org/10.1007/s10994-010-5222-7

Rodosthenous, T., Shahrezaei, V., & Evangelou, M. (2020). Integrating multi-OMICS data through sparse canonical correlation analysis for the prediction of complex traits: a comparison study. Bioinformatics, 36(17), 4616–4625. https://doi.org/10.1093/bioinformatics/btaa530

About

Sparse Canonical Correlation Analysis

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published