bst : Gradient Boosting

Package: bst
Type: Package
Title: Gradient Boosting
Version: 0.3-13
Date: 2016-02-17
Authors@R: c(person("Zhu", "Wang", role = c("aut", "cre"),
email = "zwang@connecticutchildrens.org"),
person("Torsten", "Hothorn", role = "ctb"))
Author: Zhu Wang [aut, cre],
Torsten Hothorn [ctb]
Maintainer: Zhu Wang <zwang@connecticutchildrens.org>
Description: Functional gradient descent algorithm for a variety of convex and nonconvex loss functions, for both classical and robust regression and classification problems. HingeBoost is implemented for binary and multi-class classification, with unequal misclassification costs for binary case. The algorithm can fit linear and nonlinear classifiers.
Imports: rpart, methods, foreach, doParallel
Depends: gbm
Suggests: hdi, pROC, R.rsp, knitr
VignetteBuilder: R.rsp, knitr
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2016-02-17 21:03:41 UTC; zhu
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-02-28 09:59:24