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The following package was uploaded to CRAN:
===========================================
Package Information:
Package: xgboost
Version: 1.7.11.1
Title: Extreme Gradient Boosting
Author(s): Tianqi Chen [aut], Tong He [aut], Michael Benesty [aut],
Vadim
Khotilovich [aut], Yuan Tang [aut]
(<https://orcid.org/0000-0001-5243-233X>), Hyunsu Cho [aut],
Kailong Chen [aut], Rory Mitchell [aut], Ignacio Cano [aut],
Tianyi Zhou [aut], Mu Li [aut], Junyuan Xie [aut], Min Lin
[aut], Yifeng Geng [aut], Yutian Li [aut], Jiaming Yuan [aut,
cre], XGBoost contributors [cph] (base XGBoost implementation)
Maintainer: Jiaming Yuan <jm.y...@outlook.com>
Depends: R (>= 3.3.0)
Suggests: knitr, rmarkdown, ggplot2 (>= 1.0.1), DiagrammeR (>=
0.9.0),
Ckmeans.1d.dp (>= 3.3.1), vcd (>= 1.3), cplm, e1071, caret,
testthat, lintr, igraph (>= 1.0.1), float, crayon, titanic
Description: Extreme Gradient Boosting, which is an efficient
implementation of the gradient boosting framework from Chen &
Guestrin (2016) <doi:10.1145/2939672.2939785>. 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
Imports: Matrix (>= 1.1-0), methods, data.table (>= 1.9.6), jsonlite
(>= 1.0),
The maintainer confirms that he or she
has read and agrees to the CRAN policies.
=================================================
Original content of DESCRIPTION file:
Package: xgboost
Type: Package
Title: Extreme Gradient Boosting
Version: 1.7.11.1
Date: 2025-05-01
Authors@R: c(
person("Tianqi", "Chen", role = c("aut"),
email = "tianqi.tc...@gmail.com"),
person("Tong", "He", role = c("aut"),
email = "hetong...@gmail.com"),
person("Michael", "Benesty", role = c("aut"),
email = "mich...@benesty.fr"),
person("Vadim", "Khotilovich", role = c("aut"),
email = "khotilov...@gmail.com"),
person("Yuan", "Tang", role = c("aut"),
email = "terrytangy...@gmail.com",
comment = c(ORCID = "0000-0001-5243-233X")),
person("Hyunsu", "Cho", role = c("aut"),
email = "chohy...@cs.washington.edu"),
person("Kailong", "Chen", role = c("aut")),
person("Rory", "Mitchell", role = c("aut")),
person("Ignacio", "Cano", role = c("aut")),
person("Tianyi", "Zhou", role = c("aut")),
person("Mu", "Li", role = c("aut")),
person("Junyuan", "Xie", role = c("aut")),
person("Min", "Lin", role = c("aut")),
person("Yifeng", "Geng", role = c("aut")),
person("Yutian", "Li", role = c("aut")),
person("Jiaming", "Yuan", role = c("aut", "cre"),
email = "jm.y...@outlook.com"),
person("XGBoost contributors", role = c("cph"),
comment = "base XGBoost implementation")
)
Maintainer: Jiaming Yuan <jm.y...@outlook.com>
Description: Extreme Gradient Boosting, which is an efficient
implementation
of the gradient boosting framework from Chen & Guestrin (2016)
<doi:10.1145/2939672.2939785>.
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
NeedsCompilation: yes
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, ggplot2 (>= 1.0.1), DiagrammeR (>=
0.9.0),
Ckmeans.1d.dp (>= 3.3.1), vcd (>= 1.3), cplm, e1071, caret,
testthat, lintr, igraph (>= 1.0.1), float, crayon, titanic
Depends: R (>= 3.3.0)
Imports: Matrix (>= 1.1-0), methods, data.table (>= 1.9.6), jsonlite
(>= 1.0),
RoxygenNote: 7.3.2
Encoding: UTF-8
SystemRequirements: GNU make, C++17
Packaged: 2025-05-01 10:56:14 UTC; jiamingy
Author: Tianqi Chen [aut],
Tong He [aut],
Michael Benesty [aut],
Vadim Khotilovich [aut],
Yuan Tang [aut] (<https://orcid.org/0000-0001-5243-233X>),
Hyunsu Cho [aut],
Kailong Chen [aut],
Rory Mitchell [aut],
Ignacio Cano [aut],
Tianyi Zhou [aut],
Mu Li [aut],
Junyuan Xie [aut],
Min Lin [aut],
Yifeng Geng [aut],
Yutian Li [aut],
Jiaming Yuan [aut, cre],
XGBoost contributors [cph] (base XGBoost implementation)
