Learn R Programming

sRDA (version 1.0.0)

Sparse Redundancy Analysis

Description

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) .

Copy Link

Version

Install

install.packages('sRDA')

Monthly Downloads

150

Version

1.0.0

License

MIT + file LICENSE

Maintainer

Attila Csala

Last Published

December 14th, 2017

Functions in sRDA (1.0.0)

sCCA

Sparse Canonical Correlation analysis
sRDA

sRDA.
generate_data

Generate data sets for sparse multivariate analysis