The (Adaptive) Elastic Net and Lasso Penalized Sparse Asymmetric Least Squares (SALES) and Coupled Sparse Asymmetric Least Squares (COSALES) using Coordinate Descent and Proximal Gradient Algorithms

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Documentation for package ‘SALES’ version 1.0.2

• DESCRIPTION file.

Help Pages

coef	Extract Model Coefficients
coef.alspath	Get coefficients from an ernet object
coef.cpalspath	Get coefficients from a cpernet object
coef.cpernet	Get coefficients from a cpernet object
coef.cv.cpernet	Get coefficients from a cv.cpernet object
coef.cv.ernet	Get coefficients from a cv.ernet object
coef.ernet	Get coefficients from an ernet object
cpernet	Regularization paths for the coupled sparse asymmetric least squares (COSALES) regression (or the coupled sparse expectile regression)
cv.cpernet	Cross-validation for cpernet
cv.ernet	Cross-validation for ernet
ernet	Regularization paths for the sparse asymmetric least squares (SALES) regression (or the sparse expectile regression)
plot.cpernet	Plot coefficients from a cpernet object
plot.cv.cpernet	Plot the cross-validated curve produced by cv.cpernet
plot.cv.ernet	Plot the cross-validated curve produced by cv.ernet
plot.ernet	Plot coefficients from an ernet object
predict	Model predictions
predict.alspath	Make predictions from an ernet object
predict.cpalspath	Make predictions from a cpernet object
predict.cpernet	Make predictions from a cpernet object
predict.cv.cpernet	Make predictions from a cv.cpernet object
predict.cv.ernet	Make predictions from a cv.ernet object
predict.ernet	Make predictions from an ernet object
print.cpernet	Print a cpernet object
print.ernet	Print an ernet object