sgPLS: Sparse Group Partial Least Square Methods

The Sparse Group Partial Least Square package (sgPLS) provides sparse, group, and sparse group versions of partial least square regression models.

AuthorBenoit Liquet and Pierre Lafaye de Micheaux
Date of publication2015-11-25 13:49:15
MaintainerBenoit Liquet <b.liquet@uq.edu.au>
LicenseGPL (>= 2.0)
Version1.4

View on CRAN

Functions

gPLS Man page
lambda.quadra Man page
normv Man page
perf Man page
perf.gPLS Man page
perf.sgPLS Man page
perf.sPLS Man page
per.variance Man page
plotcim Man page
predict.gPLS Man page
predict.sgPLS Man page
predict.sPLS Man page
select.sgpls Man page
select.spls Man page
sgPLS Man page
sgPLS-package Man page
soft.thresholding Man page
soft.thresholding.group Man page
soft.thresholding.sparse.group Man page
sPLS Man page
step1.group.spls.sparsity Man page
step1.sparse.group.spls.sparsity Man page
step1.spls.sparsity Man page
step2.spls Man page
tuning.gPLS.X Man page
tuning.gPLS.X Man page
tuning.sgPLS.X Man page
tuning.sgPLS.X Man page
tuning.sPLS.X Man page
tuning.sPLS.X Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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