R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
xgboost
Extreme Gradient Boosting
View on CRAN: Click
here
Download and install xgboost package within the R console
Install from CRAN:
install.packages("xgboost")
Install from Github:
library("remotes")
install_github("cran/xgboost") Install by package version:
library("remotes")
install_version("xgboost", "1.7.8.1") Attach the package and use:
library("xgboost")
Maintained by
Jiaming Yuan
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.xgboost . https://github.com/dmlc/xgboost/issues . https://github.com/dmlc/xgboost . xgboost results . xgboost.pdf . xgboost: eXtreme Gradient Boosting . xgboost_1.7.9.1.tar.gz . xgboost_1.7.9.1.zip . xgboost_1.7.9.1.zip . xgboost_1.7.9.1.zip . xgboost_1.7.9.1.tgz . xgboost_1.7.9.1.tgz . xgboost_1.7.9.1.tgz . xgboost_1.7.9.1.tgz . xgboost_1.7.9.1.tgz . xgboost_1.7.9.1.tgz . xgboost archive . SHAPforxgboost . https://CRAN.R-project.org/package=xgboost .
First Published: 2014-09-01
Latest Update: 2023-12-06
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.
How to cite:
Jiaming Yuan (2014). xgboost: Extreme Gradient Boosting. R package version 1.7.8.1, https://cran.r-project.org/web/packages/xgboost. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.3-0 (2014-09-01 19:47), 0.3-1 (2014-09-07 09:26), 0.3-2 (2014-09-07 21:54), 0.3-3 (2015-03-03 11:05), 0.4-1 (2015-08-01 01:24), 0.4-2 (2015-08-02 08:23), 0.4-3 (2016-02-15 14:41), 0.4-4 (2016-07-12 10:55), 0.6-0 (2016-12-16 09:25), 0.6-2 (2016-12-18 11:23), 0.6-3 (2016-12-31 22:01), 0.6-4 (2017-01-05 10:40), 0.6.4.1 (2018-01-23 22:57), 0.71.1 (2018-05-16 07:18), 0.71.2 (2018-06-09 06:24), 0.81.0.1 (2019-01-31 10:10), 0.82.1 (2019-03-12 00:40), 0.90.0.1 (2019-07-25 22:40), 0.90.0.2 (2019-08-01 21:20), 1.0.0.1 (2020-03-23 09:00), 1.0.0.2 (2020-03-25 15:10), 1.1.1.1 (2020-06-14 16:40), 1.2.0.1 (2020-09-02 07:40), 1.3.1.1 (2021-01-05 21:00), 1.3.2.1 (2021-01-18 11:10), 1.4.1.1 (2021-04-22 11:20), 1.5.0.1 (2021-11-08 09:00), 1.5.0.2 (2021-11-21 17:30), 1.5.2.1 (2022-02-21 11:00), 1.6.0.1 (2022-04-16 17:50), 1.7.3.1 (2023-01-14 22:20), 1.7.5.1 (2023-03-30 21:40), 1.7.6.1 (2023-12-06 09:50), 1.7.7.1 (2024-01-25 14:10), 1.7.8.1 (2024-07-24 20:40)
Other packages that cited xgboost R package
View xgboost citation profile
Other R packages that xgboost depends,
imports, suggests or enhances
Complete documentation for xgboost
Functions, R codes and Examples using
the xgboost R package
Some associated functions: a-compatibility-note-for-saveRDS-save . agaricus.test . agaricus.train . callbacks . cb.cv.predict . cb.early.stop . cb.evaluation.log . cb.gblinear.history . cb.print.evaluation . cb.reset.parameters . cb.save.model . dim.xgb.DMatrix . dimnames.xgb.DMatrix . getinfo . normalize . predict.xgb.Booster . prepare.ggplot.shap.data . print.xgb.Booster . print.xgb.DMatrix . print.xgb.cv . setinfo . slice.xgb.DMatrix . xgb.Booster.complete . xgb.DMatrix . xgb.DMatrix.save . xgb.attr . xgb.config . xgb.create.features . xgb.cv . xgb.dump . xgb.gblinear.history . xgb.importance . xgb.load . xgb.load.raw . xgb.model.dt.tree . xgb.parameters . xgb.plot.deepness . xgb.plot.importance . xgb.plot.multi.trees . xgb.plot.shap . xgb.plot.shap.summary . xgb.plot.tree . xgb.save . xgb.save.raw . xgb.serialize . xgb.shap.data . xgb.train . xgb.unserialize . xgbConfig . xgboost-deprecated .
Some associated R codes: callbacks.R . utils.R . xgb.Booster.R . xgb.DMatrix.R . xgb.DMatrix.save.R . xgb.config.R . xgb.create.features.R . xgb.cv.R . xgb.dump.R . xgb.ggplot.R . xgb.importance.R . xgb.load.R . xgb.load.raw.R . xgb.model.dt.tree.R . xgb.plot.deepness.R . xgb.plot.importance.R . xgb.plot.multi.trees.R . xgb.plot.shap.R . xgb.plot.tree.R . xgb.save.R . xgb.save.raw.R . xgb.serialize.R . xgb.train.R . xgb.unserialize.R . xgboost.R . Full xgboost package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
gglgbtq
Show Pride on 'ggplot2' Plots
Provides multiple palettes based on pride flags with tailored themes. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Laura Bakala (view profile)
quickcode
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
landmix
Landmark Prediction for Mixture Data
Non-parametric prediction of survival outcomes for mixture data that incorporates covariates and a l ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Layla Parast (view profile)
23,842
R Packages
207,311
Dependencies
64,420
Author Associations
23,781
Publication Badges
