bst: Gradient Boosting
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:
| Package source: | bst_0.3-24.tar.gz |
| Windows binaries: | r-devel:bst_0.3-24.zip, r-release:bst_0.3-24.zip, r-oldrel:bst_0.3-24.zip |
| macOS binaries: | r-release (arm64):bst_0.3-24.tgz, r-oldrel (arm64):bst_0.3-24.tgz, r-release (x86_64):bst_0.3-24.tgz, r-oldrel (x86_64):bst_0.3-24.tgz |
| Old sources: | bst archive |
Reverse dependencies:
| Reverse imports: | bujar,mpath |
| Reverse suggests: | mlr |
Linking:
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