gbm
Generalized Boosted Regression Models
v2.2.3
·
Jan 22, 2026
·
GPL (>= 2) | file LICENSE
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.
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| r-devel-windows-x86_64 | OK |
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| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
Reverse Dependencies (96)
depends
imports
ARTtransfer
CRE
CoxAIPW
E2E
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scorecardModelUtils
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tidylearn
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optweight
pdp
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posterior
psborrow2
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Dependency Network
Version History
new
2.2.3
Mar 9, 2026