An efficient algorithm inspired by majorization-minimization principle for solving the entire solution path of a flexible nonparametric expectile regression estimator constructed in a reproducing kernel Hilbert space.
|Author||Yi Yang, Teng Zhang, Hui Zou|
|Date of publication||2015-08-28 00:35:09|
|Maintainer||Yi Yang <firstname.lastname@example.org>|
as.kernelMatrix: Assing kernelMatrix class to matrix objects
cv.KERE: Cross-validation for KERE
dots: Kernel Functions
KERE: Fits the regularization paths for the kernel expectile...
kernel-class: Class "kernel" "rbfkernel" "polykernel", "tanhkernel",...
kernelMatrix: Kernel Matrix functions
plot.KERE: Plot coefficients from a "KERE" object
predict.KERE: make predictions from a "KERE" object.