Combining Tree-Boosting with Gaussian Process and Mixed Effects Models R package gpboost version 1.7.1.1 CRAN Task View: MixedModels (https://CRAN.R-project.org/view=MixedModels) CRAN Task View: Spatial (https://CRAN.R-project.org/view=Spatial) An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2022, JMLR) <https://www.jmlr.org/papers/v23/20-322.html> and Sigrist (2023, TPAMI) <doi:10.1109/TPAMI.2022.3168152> for more information on the methodology. Software Depends: R (>= 3.5), R6 (>= 2.4.0) Imports: data.table (>= 1.9.6), graphics, RJSONIO, Matrix (>= 1.1-0), methods, utils Suggests: testthat Fabio Sigrist <fabiosigrist@gmail.com> Comprehensive R Archive Network (CRAN) Fabio Sigrist [aut, cre], Tim Gyger [aut], Pascal Kuendig [aut], Benoit Jacob [cph], Gael Guennebaud [cph], Nicolas Carre [cph], Pierre Zoppitelli [cph], Gauthier Brun [cph], Jean Ceccato [cph], Jitse Niesen [cph], Other authors of Eigen for the included version of Eigen [ctb, cph], Timothy A. Davis [cph], Guolin Ke [ctb], Damien Soukhavong [ctb], James Lamb [ctb], Other authors of LightGBM for the included version of LightGBM [ctb], Microsoft Corporation [cph], Dropbox, Inc. [cph], Jay Loden [cph], Dave Daeschler [cph], Giampaolo Rodola [cph], Alberto Ferreira [ctb], Daniel Lemire [ctb], Victor Zverovich [cph], IBM Corporation [ctb], Keith O'Hara [cph], Stephen L. Moshier [cph], Jorge Nocedal [cph], Naoaki Okazaki [cph], Yixuan Qiu [cph], Dirk Toewe [cph] Apache License (== 2.0) file LICENSE (https://CRAN.R-project.org/package=gpboost/LICENSE) 2026-07-23 application/tgz https://CRAN.R-project.org/package=gpboost doi:10.32614/CRAN.package.gpboost