erboost: Nonparametric Multiple Expectile Regression via ER-Boost

Expectile regression is a nice tool for estimating the conditional expectiles of a response variable given a set of covariates. This package implements a regression tree based gradient boosting estimator for nonparametric multiple expectile regression.

Version:	1.3
Depends:	R (≥ 2.12.0), lattice, splines
Published:	2015-08-28
Author:	Yi Yang, Hui Zou
Maintainer:	Yi Yang <yiyang at umn.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
Materials:	ChangeLog
CRAN checks:	erboost results

Documentation:

Reference manual:

erboost.pdf

Downloads:

Package source:	erboost_1.3.tar.gz
Windows binaries:	r-devel: erboost_1.3.zip, r-release: erboost_1.3.zip, r-oldrel: erboost_1.3.zip
macOS binaries:	r-release (arm64): erboost_1.3.tgz, r-oldrel (arm64): erboost_1.3.tgz, r-release (x86_64): erboost_1.3.tgz, r-oldrel (x86_64): erboost_1.3.tgz
Old sources:	erboost archive

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