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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", "2.2.2")



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: 2024-01-10
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 2.2.2, https://cran.r-project.org/web/packages/gbm. Accessed 22 Dec. 2024.
Previous versions and publish date:
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)
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