[aut,
cre],
Torsten Hothorn [ctb]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: | 0.3-21 |
| Imports: | rpart, methods, foreach, doParallel, gbm |
| Suggests: | hdi, pROC, R.rsp, knitr, gdata |
| Published: | 2020-06-02 |
| Author: | Zhu Wang [aut,
cre],
Torsten Hothorn [ctb] |
| Maintainer: | Zhu Wang <wangz1 at uthscsa.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 |
| Reference manual: | bst.pdf |
| Vignettes: |
Classification of Breast Cancer Clinical Stage with Gene Expression Data (with Results) Classification of Cancer Types Using Gene Expression Data (with Results) Classification of UCI Machine Learning Datasets (with Results) Classification of Breast Cancer Clinical Stage with Gene Expression Data (without Results) Classification of UCI Machine Learning Datasets (without Results) Classification of Cancer Types Using Gene Expression Data (without Results) Cancer Classification Using Mass Spectrometry-based Proteomics Data |
| Package source: | bst_0.3-21.tar.gz |
| Windows binaries: | r-devel: bst_0.3-21.zip, r-release: bst_0.3-21.zip, r-oldrel: bst_0.3-21.zip |
| macOS binaries: | r-release: bst_0.3-21.tgz, r-oldrel: bst_0.3-21.tgz |
| Old sources: | bst archive |
| Reverse imports: | bujar, mpath |
| Reverse suggests: | fscaret, mlr |
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