sRDA (1.0.0)

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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) .

Maintainer: Attila Csala
Author(s): Attila Csala [aut, cre], Koos Zwinderman [ctb]

License: MIT + file LICENSE

Uses: doParallel, elasticnet, foreach, Matrix, mvtnorm

Released over 2 years ago.



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