R (>= 2.5.0), survival, lattice, splines
This package implements extensions
to Freund and Schapire's AdaBoost algorithm and Friedman's
gradient boosting machine. Includes regression methods for least
squares, absolute loss, quantile regression, logistic, Poisson,
Cox proportional hazards partial likelihood, and AdaBoost
exponential loss.

This package implements extensions to Freund and
Schapire's AdaBoost algorithm and Friedman's gradient boosting
machine. Includes regression methods for least squares,
absolute loss, quantile regression, logistic, Poisson, Cox
proportional hazards partial likelihood, and AdaBoost
exponential loss.

R (>= 2.12.0), survival, lattice, splines
Orpahaned on 2013-12-09 as the maintainer address has
bounced for some months.

Greg Ridgeway <gregr@rand.org> with contributions from others
R (>= 2.9.0), survival, lattice, splines
This package implements 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).

Greg Ridgeway <gregridgeway@gmail.com> with contributions from
others

R (>= 2.9.0), survival, lattice, splines, parallel
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).

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")
)
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)