BrainAndSpineInstitute/rgcca_Rpackage: Launcher for Regularized and Sparse Generalized Canonical Correlation Analysis
A user-friendly multi-blocks analysis (Regularized Generalized Canonical Correlation Analysis, RGCCA) with all default settings predefined. Produce several plots to help clinicians to identify fingerprint: samples and variables projected on the two first component of the multi-block analysis, the 100 best predictors and the explained variance in the model.
Getting started
Browse package contents
Package details |
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| Author | Etienne Camenen, Arthur Tenenhaus and Vincent Guillemot |
| Maintainer | Arthur Tenenhaus <arthur.tenenhaus@centralesupelec.fr> |
| License | GPL (>= 2) |
| Version | 1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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