Regularized Simultaneous Component Based Data Integration

It performs regularized simultaneous component based data integration for multiblock data.


Recent update: We rewrote some functions to incorporate the S3 method.

The package performs a true integrated analysis of multiple data blocks from multiple sources. The methods included in this package combine simultaneous component analysis methods (SCA) with regularization (such as Lasso and Group Lasso).

To use the package, please read the vignette. An article regarding this package has been submitted. We hope that the paper will be accepted and incorporated directly in this package.

For the latest version of 'RegularizedSCA', please go to https://github.com/ZhengguoGu/RSCA/.

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Reference manual

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install.packages("RegularizedSCA")

0.5.4 by Zhengguo Gu, 18 days ago


Browse source code at https://github.com/cran/RegularizedSCA


Authors: Zhengguo Gu [aut, cre], Katrijn Van Deun [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports gtools, psych, RGCCA, ggplot2, stats, utils, graphics, mice, colorspace, lattice

Suggests testthat, knitr, rmarkdown


See at CRAN