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sRDA: Sparse Redundancy Analysis
Sparse redundancy analysis for high dimensional (biomedical) data. Directional multivariate analysis to express the maximum variance in the predicted data set by a linear combination of variables of the predictive data set. Implemented in a partial least squares framework, for more details see Csala et al. (2017) <doi:10.1093/bioinformatics/btx374>.
Getting started
Browse package contents
Package details |
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| Author | Attila Csala [aut, cre], Koos Zwinderman [ctb] |
| Maintainer | Attila Csala <a@csala.me> |
| License | MIT + file LICENSE |
| Version | 1.0.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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