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

Package details

AuthorAttila Csala [aut, cre], Koos Zwinderman [ctb]
MaintainerAttila Csala <[email protected]>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
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sRDA documentation built on Dec. 14, 2017, 5:09 p.m.