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

Documentation for package ‘SALES’ version 1.0.2

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