ddsPLS (1.0.61)

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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 3 months ago.

9 previous versions



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