# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "mboost" in publications use:' type: software license: GPL-2.0-only title: 'mboost: Model-Based Boosting' version: 2.9-11 identifiers: - type: doi value: 10.32614/CRAN.package.mboost abstract: Functional gradient descent algorithm (boosting) for optimizing general risk functions utilizing component-wise (penalised) least squares estimates or regression trees as base-learners for fitting generalized linear, additive and interaction models to potentially high-dimensional data. Models and algorithms are described in , a hands-on tutorial is available from . The package allows user-specified loss functions and base-learners. authors: - family-names: Hothorn given-names: Torsten email: Torsten.Hothorn@R-project.org orcid: https://orcid.org/0000-0001-8301-0471 - family-names: Buehlmann given-names: Peter orcid: https://orcid.org/0000-0002-1782-6015 - family-names: Kneib given-names: Thomas orcid: https://orcid.org/0000-0003-3390-0972 - family-names: Schmid given-names: Matthias orcid: https://orcid.org/0000-0002-0788-0317 - family-names: Hofner given-names: Benjamin orcid: https://orcid.org/0000-0003-2810-3186 preferred-citation: type: article title: 'Model-based Boosting in R: A Hands-on Tutorial Using the R Package mboost' authors: - family-names: Hofner given-names: Benjamin orcid: https://orcid.org/0000-0003-2810-3186 - family-names: Mayr given-names: Andreas - family-names: Robinzonov given-names: Nikolay - family-names: Schmid given-names: Matthias orcid: https://orcid.org/0000-0002-0788-0317 journal: Computational Statistics year: '2014' volume: '29' start: '3' end: '35' repository: https://CRAN.R-project.org/package=mboost repository-code: https://github.com/boost-R/mboost url: https://github.com/boost-R/mboost date-released: '2024-08-19' contact: - family-names: Hothorn given-names: Torsten email: Torsten.Hothorn@R-project.org orcid: https://orcid.org/0000-0001-8301-0471 references: - type: article title: Model-based Boosting 2.0 authors: - family-names: Hothorn given-names: Torsten - family-names: Buehlmann given-names: Peter - family-names: Kneib given-names: Thomas - family-names: Schmid given-names: Matthias - family-names: Hofner given-names: Benjamin journal: Journal of Machine Learning Research year: '2010' volume: '11' start: '2109' end: '2113' - type: article title: 'Boosting Algorithms: Regularization, Prediction and Model Fitting (with Discussion)' authors: - family-names: Buehlmann given-names: Peter - family-names: Hothorn given-names: Torsten journal: Statistical Science year: '2007' volume: '22' issue: '4' start: '477' end: '505' - type: article title: 'Controlling false discoveries in high-dimensional situations: Boosting with stability selection' authors: - family-names: Hofner given-names: Benjamin - family-names: Boccuto given-names: Luigi - family-names: Goeker given-names: Markus journal: BMC Bioinformatics year: '2015' volume: '16' issue: '144'