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) .


Reference manual

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install.packages("sRDA")

1.0.0 by Attila Csala, 9 years ago


Browse source code at https://github.com/cran/sRDA


Authors: Attila Csala [aut, cre] , Koos Zwinderman [ctb]


Documentation:   PDF Manual  


MIT + file LICENSE license


Depends on Matrix, doParallel, elasticnet, foreach, mvtnorm


See at CRAN