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sgPLS (version 1.8)

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

192

Version

1.8

License

GPL (>= 2.0)

Maintainer

Benoit Liquet

Last Published

October 5th, 2023

Functions in sgPLS (1.8)

Sparse Group Partial Least Squares (sgPLS)

Simulated Data for group PLS-DA model

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

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

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

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

Internal Functions

Group and Sparse Group Partial Least Square Model

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

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

Sparse Partial Least Squares (sPLS)

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

Output of selected variables from a sPLS model

Group Partial Least Squares (gPLS)

Sparse Partial Least Squares Discriminant Analysis (sPLS-DA)

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

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

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