DR_sharpen              Shape-Constrained Local Linear Regression via
                        Douglas-Rachford
RELsharpening           Ridge/Enet/LASSO Sharpening via the mean/local
                        polynomial regression with large
                        bandwidth/linear regression.
data_sharpening         Penalized data sharpening for Local Linear,
                        Quadratic and Cubic Regression
derivOperator           Shape Constraint Matrix Construction
dpilc                   Select a Bandwidth for Local Quadratic and
                        Cubic Regression
lprOperator             Local Polynomial Estimator Matrix Construction
noontemp                Noon Temperatures in Winnipeg, Manitoba
numericalDerivative     Numerical Derivative of Smooth Function
projection_C            Projection operator for rectangle or
                        nonnegative space
projection_nb           Projection operator for norm balls.
relsharp_bigh           Ridge/Enet/LASSO Sharpening via the local
                        polynomial regression with large bandwidth.
relsharp_bigh_c         Ridge/Enet/LASSO Sharpening via the local
                        polynomial regression with large bandwidth and
                        then applying the residual sharpening method.
relsharp_linear         Ridge/Enet/LASSO Sharpening via the linear
                        regression.
relsharp_linear_c       Ridge/Enet/LASSO Sharpening via the linear
                        regression and then applying the residual
                        sharpening method.
relsharp_mean           Ridge/Enet/LASSO Sharpening via the Mean
relsharp_mean_c         Ridge/Enet/LASSO Sharpening via the Mean and
                        then applying the residual sharpening method.
relsharpen              Ridge/Enet/LASSO Sharpening via the penalty
                        matrix.
testfun                 Functions for Testing Purposes
