# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "bst" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'bst: Gradient Boosting'
version: 0.3-24
identifiers:
- type: doi
  value: 10.32614/CRAN.package.bst
abstract: Functional gradient descent algorithm for a variety of convex and non-convex
  loss functions, for both classical and robust regression and classification problems.
  See Wang (2011) <https://doi.org/10.2202/1557-4679.1304>, Wang (2012) <https://doi.org/10.3414/ME11-02-0020>,
  Wang (2018) <https://doi.org/10.1080/10618600.2018.1424635>, Wang (2018) <https://doi.org/10.1214/18-EJS1404>.
authors:
- family-names: Wang
  given-names: Zhu
  email: zwang145@uthsc.edu
  orcid: https://orcid.org/0000-0002-0773-0052
preferred-citation:
  type: manual
  title: 'bst: Gradient Boosting'
  authors:
  - family-names: Wang
    given-names: Zhu
    email: zwang145@uthsc.edu
    orcid: https://orcid.org/0000-0002-0773-0052
  year: '2022'
  notes: R package version 0.3-24
  url: https://CRAN.R-project.org/package=bst
repository: https://zhuwang46.r-universe.dev
commit: 53dbd049b094eee6de2c02c00969900f01da88d2
date-released: '2022-12-20'
contact:
- family-names: Wang
  given-names: Zhu
  email: zwang145@uthsc.edu
  orcid: https://orcid.org/0000-0002-0773-0052
references:
- type: article
  title: 'HingeBoost: ROC-Based Boost for Classification and Variable Selection'
  authors:
  - family-names: Wang
    given-names: Zhu
  journal: The International Journal of Biostatistics
  year: '2011'
  volume: '7'
  issue: '1'
  start: Article 13
- type: article
  title: 'Multi-class HingeBoost: Method and Application to the Classification of
    Cancer Types Using Gene Expression Data'
  authors:
  - family-names: Wang
    given-names: Zhu
  journal: Methods of Information in Medicine
  year: '2012'
  volume: '51'
  issue: '2'
  start: '162'
  end: '167'
- type: article
  title: Quadratic Majorization for Nonconvex Loss with Applications to the Boosting
    Algorithm
  authors:
  - family-names: Wang
    given-names: Zhu
  journal: Journal of Computational and Graphical Statistics
  year: '2018'
  volume: '27'
  issue: '3'
  doi: 10.1080/10618600.2018.1424635
  start: 491-502
- type: article
  title: Robust boosting with truncated loss functions
  authors:
  - family-names: Wang
    given-names: Zhu
  journal: Electronic Journal of Statistics
  year: '2018'
  volume: '12'
  issue: '1'
  doi: 10.1214/18-EJS1404
  start: '599'
  end: '650'