# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "bujar" in publications use:'
type: software
license: GPL-2.0-only
title: 'bujar: Buckley-James Regression for Survival Data with High-Dimensional Covariates'
version: 0.2-11
identifiers:
- type: doi
  value: 10.32614/CRAN.package.bujar
abstract: Buckley-James regression for right-censoring survival data with high-dimensional
  covariates. Implementations for survival data include boosting with componentwise
  linear least squares, componentwise smoothing splines, regression trees and MARS.
  Other high-dimensional tools include penalized regression for survival data. See
  Wang and Wang (2010) <https://doi.org/10.2202/1544-6115.1550>.
authors:
- family-names: Wang
  given-names: Zhu
  email: zwang145@uthsc.edu
- name: others
preferred-citation:
  type: manual
  title: 'bujar: Buckley-James Regression for Survival Data with High-Dimensional
    Covariates'
  authors:
  - family-names: Wang
    given-names: Zhu
    email: zwang145@uthsc.edu
  year: '2023'
  notes: R package version 0.2-11
  url: https://CRAN.R-project.org/package=bujar
repository: https://zhuwang46.r-universe.dev
commit: 9dbf65067d18bd65681c51d167615b297860383e
date-released: '2023-06-23'
contact:
- family-names: Wang
  given-names: Zhu
  email: zwang145@uthsc.edu
references:
- type: article
  title: Buckley-James Boosting for Survival Analysis with High-Dimensional Biomarker
    Data
  authors:
  - family-names: Wang
    given-names: Zhu
  - family-names: Wang
    given-names: Ching-Yun
  journal: Statistical Applications in Genetics and Molecular Biology
  year: '2010'
  volume: '9'
  issue: '1'
  start: Article 24