KERE: Expectile Regression in Reproducing Kernel Hilbert Space
Version 1.0.0

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.

Getting started

Package details

AuthorYi Yang, Teng Zhang, Hui Zou
Date of publication2015-08-28 00:35:09
MaintainerYi Yang <yiyang@umn.edu>
LicenseGPL-2
Version1.0.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("KERE")

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KERE documentation built on May 29, 2017, 10:49 a.m.