Data Driven Sparse PLS(ddsPLS)

ddsPLS is a sparse PLS formulation based on soft-thresholding estimations of covariance matrices.

Installation

There is currently one way to install ddsPLS

# install.packages("devtools")
devtools::install_github("hlorenzo/ddsPLS", build_vignettes = TRUE)

Once that package is installed, you can access the vignette using that command.

vignette("ddsPLS")

It is also possible to start a built in applet using

ddsPLS_App()

and it should start an interactive interface which should look like

Thanks for using!

Name		Name	Last commit message	Last commit date
Latest commit History 251 Commits
R		R
inst		inst
man		man
src		src
vignettes		vignettes
.DS_Store		.DS_Store
.Rbuildignore		.Rbuildignore
.gitignore		.gitignore
DESCRIPTION		DESCRIPTION
LICENSE		LICENSE
NAMESPACE		NAMESPACE
README.md		README.md
ddsPLS.Rproj		ddsPLS.Rproj