Package: gbm3
Version: 3.0.1
Date: 2026-05-07
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")),
    person("Greg", "Ridgeway",
           email="gridge@upenn.edu",
           role=c("aut", "cre")),
    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 (>= 3.5.0)
Imports: survival, lattice, splines, Rcpp (>= 1.0.0)
Suggests: testthat (>= 3.1.0), knitr, rmarkdown, MASS
VignetteBuilder: knitr
Description: 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).
License: GPL (>= 2)
URL: https://gbm-developers.github.io/gbm3/,
        https://github.com/gbm-developers/gbm3
Encoding: UTF-8
LinkingTo: Rcpp
RoxygenNote: 7.3.3
Repository: https://gbm-developers.r-universe.dev
Date/Publication: 2026-07-01 19:31:33 UTC
RemoteUrl: https://github.com/gbm-developers/gbm3
RemoteRef: HEAD
RemoteSha: 806c2a067b6e9b6be40e55b79d311b7117eda691
NeedsCompilation: yes
Packaged: 2026-07-01 21:00:08 UTC; root
Author: James Hickey [aut],
  Paul Metcalfe [aut],
  Greg Ridgeway [aut, cre],
  Stefan Schroedl [aut],
  Harry Southworth [aut],
  Terry Therneau [aut]
Maintainer: Greg Ridgeway <gridge@upenn.edu>