CRAN/E | gpboost

gpboost

Combining Tree-Boosting with Gaussian Process and Mixed Effects Models

Installation

About

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 for more information on the software and Sigrist (2022, JMLR) and Sigrist (2023, TPAMI) doi:10.1109/TPAMI.2022.3168152 for more information on the methodology.

Citation gpboost citation info
github.com/fabsig/GPBoost
System requirements C++17
Bug report File report

Key Metrics

Version 1.4.0.1
R ≥ 3.5
Published 2024-04-15 5 days ago
Needs compilation? yes
License Apache License (== 2.0)
License File
CRAN checks gpboost results

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Maintainer

Maintainer

Fabio Sigrist

fabiosigrist@gmail.com

Authors

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

Material

README
Reference manual
Package source

In Views

MixedModels

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

gpboost archive

Depends

R ≥ 3.5
R6 ≥ 2.0

Imports

data.table ≥ 1.9.6
graphics
RJSONIO
Matrix ≥ 1.1-0
methods
utils

Suggests

testthat