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Package: gbm
Version: 2.1.1
Date: 2015-03-10
Title: Generalized Boosted Regression Models
Author: Greg Ridgeway <gregridgeway@gmail.com> with contributions from
others
Maintainer: Harry Southworth <harry.southworth@gmail.com>
Depends: R (>= 2.9.0), survival, lattice, splines, parallel
Suggests: RUnit
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).
License: GPL (>= 2) | file LICENSE
URL: http://code.google.com/p/gradientboostedmodels/
Packaged: 2015-03-11 07:56:18 UTC; ripley
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-03-11 09:02:32
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providing 
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