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>.
Version: 0.3-24 Imports: rpart, methods, foreach, doParallel, gbm Suggests: hdi, pROC, R.rsp, knitr, gdata Published: 2023-01-06 DOI: 10.32614/CRAN.package.bst Author: Zhu Wang [aut, cre], Torsten Hothorn [ctb] Maintainer: Zhu Wang <zwang145 at uthsc.edu> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: no Citation: bst citation info Materials: NEWS In views: MachineLearning CRAN checks: bst results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=bst to link to this page.
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