Other packages > Find by keyword >

gbm  

Generalized Boosted Regression Models
View on CRAN: Click here


Download and install gbm package within the R console
Install from CRAN:
install.packages("gbm")

Install from Github:
library("remotes")
install_github("cran/gbm")

Install by package version:
library("remotes")
install_version("gbm", "2.3.1")



Attach the package and use:
library("gbm")
Maintained by
Greg Ridgeway
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2003-02-21
Latest Update: 2024-06-28
Description:
An implementation of extensions to Freund and Schapire's AdaBoost algorithm and Friedman's gradient boosting machine. Includes regression methods for least squares, absolute loss, t-distribution loss, quantile regression, logistic, multinomial logistic, Poisson, Cox proportional hazards partial likelihood, AdaBoost exponential loss, Huberized hinge loss, and Learning to Rank measures (LambdaMart). Originally developed by Greg Ridgeway. Newer version available at github.com/gbm-developers/gbm3.
How to cite:
Greg Ridgeway (2003). gbm: Generalized Boosted Regression Models. R package version 2.3.1, https://cran.r-project.org/web/packages/gbm. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-10 01:00), 0.6 (2003-02-21 18:07), 0.7-1 (2003-03-11 20:04), 0.7-2 (2003-03-14 10:15), 0.7 (2003-03-10 11:37), 1.0 (2003-07-15 20:32), 1.1-1 (2003-12-07 22:39), 1.1-2 (2004-04-10 16:37), 1.2 (2004-06-25 14:09), 1.3-3 (2004-11-04 16:43), 1.3-5 (2004-11-09 09:24), 1.4-2 (2005-03-31 08:54), 1.5-1 (2005-06-02 09:57), 1.5-3 (2005-10-07 22:49), 1.5-5 (2006-01-21 12:58), 1.5-7 (2006-04-18 11:58), 1.5 (2005-05-09 22:56), 1.6-1 (2007-06-14 08:29), 1.6-2 (2007-06-23 10:00), 1.6-3.1 (2010-05-07 18:19), 1.6-3.2 (2012-12-09 19:28), 1.6-3 (2007-08-04 10:05), 2.0-5 (2012-12-08 16:28), 2.0-8 (2013-01-18 10:51), 2.1.1 (2015-03-11 09:02), 2.1.2 (2017-03-21 07:07), 2.1.3 (2017-03-21 07:48), 2.1.4 (2018-09-16 08:20), 2.1.5 (2019-01-14 16:00), 2.1.8.1 (2022-08-11 18:15), 2.1.8 (2020-07-15 12:00), 2.1.9 (2024-01-10 22:23), 2.1 (2013-05-10 20:13), 2.2.2 (2024-06-28 08:20), 2.2.3 (2026-01-22 18:40), 2.3.0 (2026-07-08 20:10)
Other packages that cited gbm R package
View gbm citation profile
Other R packages that gbm depends, imports, suggests or enhances
Complete documentation for gbm
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  
plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  
PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  
ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  
blandr  
Bland-Altman Method Comparison
Carries out Bland Altman analyses (also known as a Tukey mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency  
splm  
Econometric Models for Spatial Panel Data
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA