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) , Wang (2012) , Wang (2018) , Wang (2018) .


Reference manual

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install.packages("bst")

0.3-24 by Zhu Wang, 4 years ago


Browse source code at https://github.com/cran/bst


Authors: Zhu Wang [aut, cre] , Torsten Hothorn [ctb]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports rpart, methods, foreach, doParallel, gbm

Suggests hdi, pROC, R.rsp, knitr, gdata


Imported by bujar, mpath.

Suggested by mlr.


See at CRAN