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")
  )
covr, gridExtra, knitr, pdp, RUnit, splines, tinytest, vip,
viridis
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.
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)