DESCRIPTION

Package: gbm
Version: 2.1.4
Title: Generalized Boosted Regression Models
Authors@R: c(
  person("Greg", "Ridgeway",
         email = "gregridgeway@gmail.com",
         role = "aut"),
  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:
  gridExtra,
  lattice,
  parallel,
  survival
Suggests:
  knitr,
  pdp,
  RUnit,
  splines,
  viridis,
  rsample,
  rmarkdown
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).
License: GPL (>= 2) | file LICENSE
URL: https://github.com/gbm-developers/gbm
BugReports: https://github.com/gbm-developers/gbm/issues
RoxygenNote: 6.0.1
VignetteBuilder: knitr