Regularized Simultaneous Component Based Data Integration

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


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/.

Update information

The function maxLGlasso() has been further improved.

News

Reference manual

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install.packages("RegularizedSCA")

0.5.4 by Zhengguo Gu, a year 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