# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "gbm" in publications use:' type: software license: GPL-2.0-or-later title: 'gbm: Generalized Boosted Regression Models' version: 2.2.2 doi: 10.32614/CRAN.package.gbm abstract: 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 github.com/gbm-developers/gbm3. authors: - family-names: Ridgeway given-names: Greg email: gridge@upenn.edu orcid: https://orcid.org/0000-0001-6911-0804 - family-names: Developers given-names: GBM website: https://github.com/gbm-developers repository: https://CRAN.R-project.org/package=gbm repository-code: https://github.com/gbm-developers/gbm url: https://github.com/gbm-developers/gbm date-released: '2024-06-28' contact: - family-names: Ridgeway given-names: Greg email: gridge@upenn.edu orcid: https://orcid.org/0000-0001-6911-0804