The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| Reference manual: | erboost.pdf |
| Package source: | erboost_1.5.tar.gz |
| Windows binaries: | r-devel: erboost_1.5.zip, r-release: erboost_1.5.zip, r-oldrel: erboost_1.5.zip |
| macOS binaries: | r-release (arm64): erboost_1.5.tgz, r-oldrel (arm64): erboost_1.5.tgz, r-release (x86_64): erboost_1.5.tgz, r-oldrel (x86_64): erboost_1.5.tgz |
| Old sources: | erboost archive |
Please use the canonical form https://CRAN.R-project.org/package=erboost to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.