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sgPLS (version 1.8.1)

Sparse Group Partial Least Square Methods

Description

Regularized version of partial least square approaches providing sparse, group, and sparse group versions of partial least square regression models (Liquet, B., Lafaye de Micheaux, P., Hejblum B., Thiebaut, R. (2016) ). Version of PLS Discriminant analysis is also provided.

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Version

Install

install.packages('sgPLS')

Monthly Downloads

199

Version

1.8.1

License

GPL-2

Maintainer

Benoit Liquet

Last Published

November 8th, 2025

Functions in sgPLS (1.8.1)

Choice of the tuning parameter (number of groups) related to predictor matrix for gPLS model (regression mode)

Group and Sparse Group Partial Least Square Model

Internal Functions

Choice of the tuning parameter (number of variables) related to predictor matrix for sPLS model (regression mode)

Choice of the tuning parameters (number of groups and mixing parameter) related to predictor matrix for sgPLS model (regression mode)

Simulated Data for group PLS-DA model

Sparse Group Sparse Partial Least Squares Discriminant Analysis (sPLS-DA)

Sparse Group Partial Least Squares (sgPLS)

Group Sparse Partial Least Squares Discriminant Analysis (sPLS-DA)

Plots a cluster image mapping of correlations between outcomes and all predictors

Group Partial Least Squares (gPLS)

Percentage of variance of the \(Y\) matrix explained by the score-vectors obtained by PLS approaches

Output of selected variables from a gPLS model or a sgPLS model

Output of selected variables from a sPLS model

Predict Method for sPLS, gPLS, sgPLS, sPLDda, gPLSda, sgPLSda

Compute evaluation criteria for PLS, sPLS, PLS-DA and sPLS-DA

Sparse Partial Least Squares (sPLS)

Sparse Partial Least Squares Discriminant Analysis (sPLS-DA)