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sNPLS

NPLS Regression with L1 Penalization

R package with tools for performing variable selection in three-way data using N-PLS in combination with L1 penalization.

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Version

Install

install.packages('sNPLS')

Monthly Downloads

204

Version

1.0.27

License

GPL (>= 2)

Maintainer

David Hervas

Last Published

December 16th, 2020

Functions in sNPLS (1.0.27)

Rmatrix

R-matrix from a sNPLS model fit
cv_fit

Internal function for cv_snpls
plot.cvsNPLS

Plot cross validation results for sNPLS objects
plot.repeatcv

Density plot for repeat_cv results
bread

Bread data
SR

Compute Selectivity Ratio for a sNPLS model
plot.sNPLS

Plots for sNPLS model fits
cv_snpls

Cross-validation for a sNPLS model
fitted.sNPLS

Fitted method for sNPLS models
plot_T

Internal function for plot.sNPLS
plot_Wj

Internal function for plot.sNPLS
plot_time

Internal function for plot.sNPLS
sNPLS

Fit a sNPLS model
summary.sNPLS

Summary for sNPLS models
coef.sNPLS

Coefficients from a sNPLS model
repeat_cv

Repeated cross-validation for sNPLS models
predict.sNPLS

Predict for sNPLS models
plot_Wk

Internal function for plot.sNPLS
plot_U

Internal function for plot.sNPLS
plot_variables

Internal function for plot.sNPLS
unfold3w

Unfolding of three-way arrays