Source: r-cran-gbm
Standards-Version: 4.7.4
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Uploaders:
 Andreas Tille <tille@debian.org>,
Section: gnu-r
Testsuite: autopkgtest-pkg-r
Build-Depends:
 debhelper-compat (= 13),
 dh-r,
 r-base-dev,
 r-cran-lattice,
 r-cran-survival,
 r-pkg-team-core-architecture,
Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-cran-gbm
Vcs-Git: https://salsa.debian.org/r-pkg-team/r-cran-gbm.git
Homepage: https://cran.r-project.org/package=gbm

Package: r-cran-gbm
Architecture: any
Depends:
 ${R:Depends},
 ${shlibs:Depends},
 ${misc:Depends},
 r-pkg-team-core-architecture,
Recommends:
 ${R:Recommends},
Suggests:
 ${R:Suggests},
Description: Generalized Boosted Regression Models
 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). Originally developed by Greg Ridgeway.
 Newer version available at <https://github.com/gbm-developers/gbm3>.