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gbm3
View on CRAN: Click
here
Download and install gbm3 package within the R console
Install from CRAN:
install.packages("gbm3")
Install from Github:
library("remotes")
install_github("cran/gbm3")
Install by package version:
library("remotes")
install_version("gbm3", "3.0")
Attach the package and use:
library("gbm3")
Maintained by
Greg Ridgeway
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-01-22
Latest Update: 2024-02-06
Description:
Extensions to Freund and Schapire's AdaBoost algorithm, Y. Freund
and R. Schapire (1997) and Friedman's gradient
boosting machine, J.H. Friedman (2001) .
Includes regression methods for least squares, absolute loss,
t-distribution loss, quantile regression, logistic, Poisson,
Cox proportional hazards partial likelihood, AdaBoost
exponential loss, Huberized hinge loss,
and Learning to Rank measures (LambdaMART).
How to cite:
Greg Ridgeway (2024). gbm3: Generalized Boosted Regression Models. R package version 3.0, https://cran.r-project.org/web/packages/gbm3
Previous versions and publish date:
3.0 (2024-01-22 19:00)
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