Package: bst
Type: Package
Title: Gradient Boosting
Version: 0.3-24
Date: 2022-12-20
Authors@R: c(person("Zhu", "Wang", role = c("aut", "cre"),
                    email = "zwang145@uthsc.edu", 
                    comment = c(ORCID = "0000-0002-0773-0052")),
             person("Torsten", "Hothorn", role = "ctb"))
Author: Zhu Wang [aut, cre] (<https://orcid.org/0000-0002-0773-0052>),
        Torsten Hothorn [ctb]
Maintainer: Zhu Wang <zwang145@uthsc.edu>
Description: 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)
        <doi:10.2202/1557-4679.1304>, Wang (2012)
        <doi:10.3414/ME11-02-0020>, Wang (2018)
        <doi:10.1080/10618600.2018.1424635>, Wang (2018)
        <doi:10.1214/18-EJS1404>.
Imports: rpart, methods, foreach, doParallel, gbm
Suggests: hdi, pROC, R.rsp, knitr, gdata
VignetteBuilder: R.rsp, knitr
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2026-06-14 09:08:22 UTC; root
NeedsCompilation: no
Repository: https://zhuwang46.r-universe.dev
Date/Publication: 2023-01-06 17:50:56 UTC
RemoteUrl: https://github.com/cran/bst
RemoteRef: HEAD
RemoteSha: 53dbd049b094eee6de2c02c00969900f01da88d2