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.
- Version1.0.0
- R versionunknown
- LicenseMIT
- Needs compilation?No
- Last release12/14/2017
Team
Attila Csala
Koos Zwinderman
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- Depends5 packages