Package: erboost
Title: Nonparametric Multiple Expectile Regression via ER-Boost
Version: 1.5
Date: 2025-03-24
Authors@R: c(
  person("Yi", "Yang", email = "yi.yang6@mcgill.ca",
  role = c("aut", "cre"), comment = "http://www.math.mcgill.ca/yyang/"),
  person("Hui", "Zou", email = "hzou@stat.umn.edu",
  role = c("aut"), comment = "http://users.stat.umn.edu/~zouxx019/"),
  person("Greg", "Ridgeway", email = "gregridgeway@gmail.com",
  role = c("ctb","cph"))
  )
Depends: R (>= 2.12.0), lattice, splines
Description: 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.
License: GPL-3
Packaged: 2026-06-17 09:41:30 UTC; root
NeedsCompilation: yes
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@mcgill.ca>
Repository: https://archer-yang-lab.r-universe.dev
Date/Publication: 2025-03-25 16:10:01 UTC
RemoteUrl: https://github.com/cran/erboost
RemoteRef: HEAD
RemoteSha: cc67e5dc322d4c5f0fbadf64fd5040be1987f7cd