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- Description:
Generalized Boosted Regression Models: This package implements 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).
- Changes to previous version:
Fetched by r-cran-robot on 2013-04-01 00:00:05.019963
- BibTeX Entry: Download
- Supported Operating Systems: Agnostic
- Tags: R-Cran
- Archive: download here
Other available revisons
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Version Changelog Date 2.0-8 Fetched by r-cran-robot on 2013-04-01 00:00:05.019963
February 1, 2013, 00:00:04 1.6-3.2 Fetched by r-cran-robot on 2013-01-01 00:00:06.117800
May 1, 2012, 00:00:05 1.6-3.1 Fetched by r-cran-robot on 2012-04-01 00:00:05.970290
August 12, 2010, 12:52:47 1.6-3 Fetched by r-cran-robot on 2009-11-17 07:16:05.226454
June 24, 2008, 13:38:44
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