Last data update: 2014.03.03

bst

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

● Cran Task View: MachineLearning
● 0 images, 21 functions, 0 datasets
● Reverse Depends: 0

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'bst' ...
** package 'bst' successfully unpacked and MD5 sums checked
** R
** inst
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'bst'
    finding HTML links ... done
    bst-internal                            html  
    bst-package                             html  
    bst                                     html  
    bst.sel                                 html  
    bst_control                             html  
    cv.bst                                  html  
    cv.mada                                 html  
    cv.mbst                                 html  
    cv.mhingebst                            html  
    cv.mhingeova                            html  
    cv.rbst                                 html  
    cv.rmbst                                html  
    ex1data                                 html  
    mada                                    html  
    mbst                                    html  
    mhingebst                               html  
    mhingeova                               html  
    nsel.mhingebst                          html  
    rbst                                    html  
    rbstpath                                html  
    rmbst                                   html  
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (bst)
Making 'packages.html' ... done