Package: gbm
Version: 2.1.8
Title: Generalized Boosted Regression Models
Authors@R: c(
person("Brandon", "Greenwell",
email = "greenwell.brandon@gmail.com",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-8120-0084")),
person("Bradley", "Boehmke",
email = "bradleyboehmke@gmail.com",
role = "aut",
comment = c(ORCID = "0000-0002-3611-8516")),
person("Jay", "Cunningham",
email = "james@notbadafterall.com",
role = "aut"),
person("GBM", "Developers",
role = "aut",
comment = "https://github.com/gbm-developers")
)
Depends: R (>= 2.9.0)
Imports: lattice, parallel, survival
Suggests: covr, gridExtra, knitr, pdp, RUnit, splines, tinytest, vip,
viridis
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). Originally developed by Greg Ridgeway.
License: GPL (>= 2) | file LICENSE
URL: https://github.com/gbm-developers/gbm
BugReports: https://github.com/gbm-developers/gbm/issues
Encoding: UTF-8
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-07-13 15:15:55 UTC; b780620
Author: Brandon Greenwell [aut, cre] (<https://orcid.org/0000-0002-8120-0084>),
Bradley Boehmke [aut] (<https://orcid.org/0000-0002-3611-8516>),
Jay Cunningham [aut],
GBM Developers [aut] (https://github.com/gbm-developers)
Maintainer: Brandon Greenwell <greenwell.brandon@gmail.com>
Repository: CRAN
Date/Publication: 2020-07-15 10:00:02 UTC