Package: xgboost
Type: Package
Title: Extreme Gradient Boosting
Version: 0.4-4
Date: 2016-07-12
Author: Tianqi Chen <tianqi.tchen@gmail.com>, Tong He <hetong007@gmail.com>, Michael Benesty <michael@benesty.fr>
Maintainer: Tong He <hetong007@gmail.com>
Description: Extreme Gradient Boosting, which is an 
    efficient implementation of gradient boosting framework. 
    This package is its R interface. The package includes efficient 
    linear model solver and tree learning algorithms. The package can automatically 
    do parallel computation on a single machine which could be more than 10 times faster
    than existing gradient boosting packages. It supports various
    objective functions, including regression, classification and ranking. The
    package is made to be extensible, so that users are also allowed to define
    their own objectives easily.
License: Apache License (== 2.0) | file LICENSE
URL: https://github.com/dmlc/xgboost
BugReports: https://github.com/dmlc/xgboost/issues
VignetteBuilder: knitr
Suggests: knitr, ggplot2 (>= 1.0.0), DiagrammeR (>= 0.6), Ckmeans.1d.dp
        (>= 3.3.1), vcd (>= 1.3)
Depends: R (>= 2.10)
Imports: Matrix (>= 1.1-0), methods, data.table (>= 1.9.4), magrittr
        (>= 1.5), stringr (>= 0.6.2)
NeedsCompilation: yes
Packaged: 2016-07-12 07:17:10 UTC; hetong007
Repository: CRAN
Date/Publication: 2016-07-12 10:55:21
Built: R 3.2.5; x86_64-w64-mingw32; 2016-12-15 18:27:01 UTC; windows
Archs: i386, x64
