gpboost: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models

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

Downloads:

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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