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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 |
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 |
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 imports: | bujar, mpath |
Reverse suggests: | flowml, fscaret, mlr |
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