Package: gbm
Version: 2.1
Date: 2013-05-10
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: 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).
License: GPL (>= 2) | file LICENSE
URL: http://code.google.com/p/gradientboostedmodels/
Packaged: 2013-05-10 18:01:11 UTC; harry
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2013-05-10 20:13:19
Built: R 3.0.1; x86_64-pc-linux-gnu; 2013-10-22 19:21:26 UTC; unix
