CRAN/E | erboost

erboost

Nonparametric Multiple Expectile Regression via ER-Boost

Installation

About

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, proposed by Yang, Y., Qian, W. and Zou, H. (2018) doi:10.1080/00949655.2013.876024. The code is based on the 'gbm' package originally developed by Greg Ridgeway.

Key Metrics

Version 1.4
R ≥ 2.12.0
Published 2024-01-19 106 days ago
Needs compilation? yes
License GPL-3
CRAN checks erboost results

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Maintainer

Maintainer

Yi Yang

yi.yang6@mcgill.ca

Authors

Yi Yang

aut / cre

(http://www.math.mcgill.ca/yyang/)

Hui Zou

aut

(http://users.stat.umn.edu/~zouxx019/)

Greg Ridgeway

ctb / cph

Material

ChangeLog
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 2.12.0
lattice
splines