History

Bernie Gray cd7659937b [R] many minor changes to increase the robustness of the R code (#2404 )

* many minor changes to increase robustness of R code

* fixing which mistake in xgb.model.dt.tree.R and a few cosmetics

2017-06-15 22:56:23 -05:00

data

resolving not-CRAN issues

2015-01-20 15:51:42 -08:00

demo

Fixed loop bound in create.new.tree.features (#2328 )

2017-05-30 17:50:33 +02:00

man

[R] xgb.importance: fix for multiclass gblinear, new 'trees' parameter (#2388 )

2017-06-07 13:13:21 -05:00

[R] many minor changes to increase the robustness of the R code (#2404 )

2017-06-15 22:56:23 -05:00

src

[R] native routines registration (#2290 )

2017-05-14 11:00:46 -07:00

tests

[R] xgb.importance: fix for multiclass gblinear, new 'trees' parameter (#2388 )

2017-06-07 13:13:21 -05:00

vignettes

Fix typo (#2264 )

2017-05-07 16:54:48 -07:00

.Rbuildignore

fix namespace and desc

2015-07-24 11:58:02 -07:00

cleanup

Bump up version number, add cleanup script (#1886 )

2016-12-18 15:11:43 -08:00

configure

fix #2228 (#2238 )

2017-04-29 18:44:08 -07:00

configure.ac

fix #2228 (#2238 )

2017-04-29 18:44:08 -07:00

DESCRIPTION

[R] xgb.importance: fix for multiclass gblinear, new 'trees' parameter (#2388 )

2017-06-07 13:13:21 -05:00

LICENSE

modify licence and desc to standard format

2014-08-30 12:11:15 -07:00

NAMESPACE

[R] native routines registration (#2290 )

2017-05-14 11:00:46 -07:00

README.md

[R] maintenance Apr 2017 (#2237 )

2017-05-01 22:51:34 -07:00

README.md

XGBoost R Package for Scalable GBM

Resources

XGBoost R Package Online Documentation
- Check this out for detailed documents, examples and tutorials.

Installation

We are on CRAN now. For stable/pre-compiled(for Windows and OS X) version, please install from CRAN:

install.packages('xgboost')

For more detailed installation instructions, please see here.

Examples

Please visit walk through example.
See also the example scripts for Kaggle Higgs Challenge, including speedtest script on this dataset and the one related to Otto challenge, including a RMarkdown documentation.

Development

See the R Package section of the contributiors guide.