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README.md
In RegularizedSCA: Regularized Simultaneous Component Based Data Integration
RegularizedSCA v0.5.4 - An R package for regularized simultaneous component based data integration
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.
Try the RegularizedSCA package in your browser
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RegularizedSCA documentation built on May 2, 2019, 8:24 a.m.
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RegularizedSCA v0.5.4 - An R package for regularized simultaneous component based data integration
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.
Try the RegularizedSCA package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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