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>.
https://anaconda.org/r/r-srda/badges/version.svg
https://anaconda.org/r/r-srda/badges/latest_release_date.svg
https://anaconda.org/r/r-srda/badges/latest_release_relative_date.svg
https://anaconda.org/r/r-srda/badges/platforms.svg
https://anaconda.org/r/r-srda/badges/license.svg
https://anaconda.org/r/r-srda/badges/downloads.svg