CRAN/E | bst

bst

Gradient Boosting

Installation

About

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.

Citation bst citation info

Key Metrics

Version 0.3-24
Published 2023-01-06 474 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks bst results

Downloads

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Last 7 days 375 -26%
Last 30 days 1.621 -1%
Last 90 days 5.100 -39%
Last 365 days 23.961 -13%

Maintainer

Maintainer

Zhu Wang

zwang145@uthsc.edu

Authors

Zhu Wang

aut / cre

Torsten Hothorn

ctb

Material

NEWS
Reference manual
Package source

In Views

MachineLearning

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

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

bst archive

Imports

rpart
methods
foreach
doParallel
gbm

Suggests

hdi
pROC
R.rsp
knitr
gdata

Reverse Imports

bujar
mpath

Reverse Suggests

fscaret
mlr