coef.cv.fastlqr         Extract Coefficients from a cv.fastlqr Object
coef.fastlqr            Extract Coefficients from a fastlqr Object
coef.kqr                Extract model coefficients from a 'kqr' object.
coef.nckqr              Extract model coefficients from a 'nckqr'
                        object.
cv.kqr                  cross-validation for selecting the tuning
                        parameter of kernel quantile regression
cv.nckqr                cross-validation for selecting the tuning
                        parameter 'lambda2' of non-crossing kernel
                        quantile regression
cv.qr                   Cross-Validation for Regularized Linear
                        Quantile Regression
kqr                     Solve the kernel quantile regression. The
                        solution path is computed at a grid of values
                        of tuning parameter 'lambda'.
nckqr                   Solve the non-crossing kernel quantile
                        regression
predict.cv.fastlqr      Predict from a cv.fastlqr Object
predict.fastlqr         Predict from a fastlqr Object
predict.kqr             Predict the fitted values for a 'kqr' object.
predict.nckqr           Predict the fitted values for a 'nckqr' object.
qr                      Regularized Linear Quantile Regression
