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.
Version: 1.5 Depends: R (≥ 2.12.0), lattice, splines Published: 2025-03-25 DOI: 10.32614/CRAN.package.erboost Author: Yi Yang [aut, cre] (http://www.math.mcgill.ca/yyang/), Hui Zou [aut] (http://users.stat.umn.edu/~zouxx019/), Greg Ridgeway [ctb, cph] Maintainer: Yi Yang <yi.yang6 at mcgill.ca> License: GPL-3 NeedsCompilation: yes Materials: ChangeLog CRAN checks: erboost results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=erboost to link to this page.
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