DESCRIPTION

Package: gbm
Version: 2.2
Date: 2016-06-16
Title: Generalized Boosted Regression Models
Authors@R: c(
    person("James", "Hickey",
           email="james.hickey@cantab.net",
           role="aut"),
    person("Paul", "Metcalfe",
           email="paul.metcalfe@gmail.com",
           role=c("aut", "cre")),
    person("Greg", "Ridgeway",
           email="greg.ridgeway@gmail.com",
           role="aut"),
    person("Stefan", "Schroedl",
           email="schroedl@a9.com",
           role="aut"),
    person("Harry", "Southworth",
           email="harry.southworth@gmail.com",
           role="aut"),
    person("Terry", "Therneau",
           email="therneau.terry@mayo.edu",
           role="aut")
    )
Depends:
    R (>= 3.0.2)
Imports:
    survival,
    lattice,
    splines,
    Rcpp (>= 0.11.5)
Suggests:
    testthat (>= 0.11.0),
    knitr,
    rmarkdown
VignetteBuilder: knitr
Description: 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, Poisson,
    Cox proportional hazards partial likelihood, AdaBoost
    exponential loss, Huberized hinge loss,
    and Learning to Rank measures (LambdaMART).
License: GPL (>= 2) | file LICENSE
URL: https://github.com/gbm-developers/gbm
RoxygenNote: 5.0.1
LinkingTo: Rcpp