ddsPLS (1.0.61)

Data-Driven Sparse PLS Robust to Missing Samples for Mono and Multi-Block Data Sets.

Allows to build Multi-Data-Driven Sparse PLS models. Multi-blocks with high-dimensional settings are particularly sensible to this.

Maintainer: Hadrien Lorenzo
Author(s): Hadrien Lorenzo [aut, cre], Jerome Saracco [aut], Rodolphe Thiebaut [aut]

License: MIT + file LICENSE

Uses: doParallel, foreach, MASS, RColorBrewer, Rdpack, knitr, rmarkdown

Released 12 months ago.