sRDA1.0.0 package

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>.

  • Maintainer: Attila Csala
  • License: MIT + file LICENSE
  • Last published: 2017-12-14