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 (2020) <arXiv:2004.02653> for more information on the methodology.
| Version: | 0.4.0 |
| Depends: | R (≥ 3.5), R6 (≥ 2.0) |
| Imports: | data.table (≥ 1.9.6), graphics, RJSONIO, Matrix (≥ 1.1-0), methods, utils |
| Suggests: | testthat |
| Published: | 2021-02-17 |
| Author: | Fabio Sigrist [aut, cre], 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] |
| Maintainer: | Fabio Sigrist <fabiosigrist at gmail.com> |
| BugReports: | https://github.com/fabsig/GPBoost/issues |
| License: | Apache License (== 2.0) | file LICENSE |
| URL: | https://github.com/fabsig/GPBoost |
| NeedsCompilation: | yes |
| SystemRequirements: | C++11 |
| Materials: | README |
| CRAN checks: | gpboost results |
| Reference manual: | gpboost.pdf |
| Package source: | gpboost_0.4.0.tar.gz |
| Windows binaries: | r-devel: gpboost_0.4.0.zip, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release: gpboost_0.4.0.tgz, r-oldrel: not available |
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