gbm3
Generalized Boosted Regression Models
Extensions to Freund and Schapire's AdaBoost algorithm, Y. Freund and R. Schapire (1997) <doi:10.1006/jcss.1997.1504> and Friedman's gradient boosting machine, J.H. Friedman (2001) <doi:10.1214/aos/1013203451>. 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).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
3.0.1 |
rolling linux/jammy R-4.5 | gbm3_3.0.1.tar.gz |
572.2 KiB |
3.0.1 |
rolling linux/noble R-4.5 | gbm3_3.0.1.tar.gz |
572.3 KiB |
3.0.1 |
rolling source/ R- | gbm3_3.0.1.tar.gz |
456.3 KiB |
3.0.1 |
latest linux/jammy R-4.5 | gbm3_3.0.1.tar.gz |
572.2 KiB |
3.0.1 |
latest linux/noble R-4.5 | gbm3_3.0.1.tar.gz |
572.3 KiB |
3.0.1 |
latest source/ R- | gbm3_3.0.1.tar.gz |
456.3 KiB |
3.0.1 |
2026-04-23 source/ R- | gbm3_3.0.1.tar.gz |
0 B |