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erboost

1.5Package record

Nonparametric Multiple Expectile Regression via ER-Boost

0packages depend
2.1Kdownloads / year
–test coverage
13/13flavors OK

Overview

About
Maintained by Yi YangCRAN page ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 2.5 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.5
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
7
Examples that run
100%1 run in a plain check
Exported functions with examples
14%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
71%

Downloads

2.1K
CRAN downloads in the past year
Rank #21,582 · ~6/day · ~177/mo
Daily download trend is not available in this view yet.
23130 days
62090 days
2.1K1 year
Compare downloads with other packages →
Also on344 r2u3 autocran

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)

Installing erboost adds no packages beyond those that come with R.

Depends (3)
R >= 2.12.0latticesplines
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (3)
Author, Maintainer since 1.0 (2013)
http://www.math.mcgill.ca/yyang/
Author
http://users.stat.umn.edu/~zouxx019/
Contributor, Copyright holder · added in 1.4
Releases (6)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • unarchivedReturned to CRAN
    2025-03-25
  • 1.5Latest
    record
    2025-03-25 · current release · diff ↗
  • archivedRemoved from CRAN
    2024-11-11
    issues were not corrected despite reminders
  • R
    R 4.4.0 released · 2024-04-24
  • 1.4
    record
    2024-01-19 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • removedRemoved from CRAN
    2022-08-11
    misrepresentation of authorship and copyright ownership, and email to the maintainer is undeliverable Back on CRAN on 2024-01-19
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
Show 7 earlier eventsHide 7 earlier events

Package metadata

First published
2013-10-13
Total releases
6 / 13 yrs
License
GPL-3 OSI
Minimum R
≥ 2.12.0
Download size
46 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("erboost")
Yang, Y., Ridgeway, G., & Zou, H. (2025). erboost: Nonparametric Multiple Expectile Regression via ER-Boost (Version 1.5) [Computer software]. https://doi.org/10.32614/CRAN.package.erboost

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for erboost version 1.5 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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