Shrinkage for Extreme Partial Least-Squares (SEPaLS)

Regression context for the Partial Least Squares framework for Extreme values. Estimations of the Shrinkage for Extreme Partial Least-Squares (SEPaLS) estimators, an adaptation of the original Partial Least Squares (PLS) method tailored to the extreme-value framework. The SEPaLS project is a joint work by Stephane Girard, Hadrien Lorenzo and Julyan Arbel. R code to replicate the results of the paper is available at < https://github.com/hlorenzo/SEPaLS_simus>. Extremes within PLS was already studied by one of the authors, see M Bousebeta, G Enjolras, S Girard (2023) .


Shrinkage for Extreme Partial Least-Squares (SEPaLS)

R package to Compute Shrinkage for Extreme Partial Least-Squares (SEPaLS) estimators, an adaptation of the original Partial Least Squares (PLS) method tailored to the extreme-value framework.

Joint work by Stéphane Girard, Hadrien Lorenzo and Julyan Arbel.

R code to replicate the results of the paper is available at https://github.com/hlorenzo/SEPaLS_simus.

Reference manual

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install.packages("SEPaLS")

0.1.0 by Hadrien Lorenzo, 3 years ago


Browse source code at https://github.com/cran/SEPaLS


Authors: Stephane Girard [aut] , Julyan Arbel [aut] , Hadrien Lorenzo [aut, cre, cph]


Documentation:   PDF Manual  


MIT + file LICENSE license



See at CRAN