ddsPLS

Multi-Data-Driven Sparse PLS Robust to Missing Samples

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

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Description file content

Package
ddsPLS
Version
1.0.3
Title
Multi-Data-Driven Sparse PLS Robust to Missing Samples
Description
Allows to build Multi-Data-Driven Sparse PLS models. Multi-blocks with high-dimensional settings are particularly sensible to this.
Maintainer
Hadrien Lorenzo
License
MIT + file LICENSE
Encoding
UTF-8
LazyData
true
ByteCompile
true
RoxygenNote
6.1.0
Imports
RColorBrewer,MASS,graphics,stats,Rdpack,doParallel,foreach,parallel
RdMacros
Rdpack
Suggests
knitr,rmarkdown
Depends
R (>= 2.10)
VignetteBuilder
knitr
NeedsCompilation
no
Packaged
2018-11-09 10:03:29 UTC; hl1
Author
Hadrien Lorenzo [aut, cre]
Repository
CRAN
Date/Publication
2018-11-09 14:20:12 UTC

install.packages('ddsPLS')

1.0.3

8 days ago

Hadrien Lorenzo

MIT + file LICENSE

Depends on

R (>= 2.10)

Imports

RColorBrewer,MASS,graphics,stats,Rdpack,doParallel,foreach,parallel

Suggests

knitr,rmarkdown

Discussions