Other packages > Find by keyword >

gpboost  

Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
View on CRAN: Click here


Download and install gpboost package within the R console
Install from CRAN:
install.packages("gpboost")

Install from Github:
library("remotes")
install_github("cran/gpboost")

Install by package version:
library("remotes")
install_version("gpboost", "1.5.6")



Attach the package and use:
library("gpboost")
Maintained by
Fabio Sigrist
[Scholar Profile | Author Map]
First Published: 2021-02-17
Latest Update: 2024-02-28
Description:
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) for more information on the methodology.
How to cite:
Fabio Sigrist (2021). gpboost: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models. R package version 1.5.6, https://cran.r-project.org/web/packages/gpboost. Accessed 06 May. 2025.
Previous versions and publish date:
0.4.0 (2021-02-17 21:20), 0.5.0 (2021-03-12 14:20), 0.6.0 (2021-04-21 14:50), 0.6.1 (2021-05-25 12:00), 0.6.3 (2021-06-18 11:00), 0.6.6 (2021-07-14 09:30), 0.6.7 (2021-08-17 18:20), 0.7.0 (2021-12-09 21:50), 0.7.1 (2022-01-15 13:22), 0.7.2 (2022-02-21 12:10), 0.7.3.1 (2022-03-23 14:20), 0.7.3 (2022-03-22 17:20), 0.7.5 (2022-05-05 11:30), 0.7.6.2 (2022-05-09 10:40), 0.7.7 (2022-06-10 15:40), 0.7.8 (2022-07-08 16:00), 0.7.9 (2022-08-25 14:40), 0.7.10 (2022-11-14 09:20), 0.8.0 (2022-12-01 17:40), 0.8.1 (2023-01-19 07:40), 0.8.2 (2023-02-17 18:20), 1.0.0 (2023-03-09 15:00), 1.0.1 (2023-03-10 12:10), 1.2.0 (2023-06-09 15:30), 1.2.1 (2023-06-15 01:20), 1.2.3 (2023-07-16 08:00), 1.2.4 (2023-10-02 17:30), 1.2.5 (2023-10-04 17:40), 1.2.6 (2023-10-24 10:10), 1.2.7 (2023-11-29 17:20), 1.2.8 (2024-01-19 01:10), 1.2.9 (2024-02-19 17:30), 1.3.0 (2024-02-28 09:30), 1.3.1 (2024-03-28 09:40), 1.4.0.1 (2024-04-15 08:40), 1.4.0 (2024-04-11 17:50), 1.5.0 (2024-05-28 11:00), 1.5.1.1 (2024-07-16 17:10), 1.5.1.2 (2024-08-26 20:20), 1.5.1 (2024-06-21 15:40), 1.5.4 (2024-11-15 18:40), 1.5.5.1 (2025-01-20 11:00), 1.5.5 (2024-12-20 17:30)
Other packages that cited gpboost R package
View gpboost citation profile
Other R packages that gpboost depends, imports, suggests or enhances
Complete documentation for gpboost
Functions, R codes and Examples using the gpboost R package
Some associated functions: GPBoost_data . GPModel . GPModel_shared_params . X . X_test . agaricus.test . agaricus.train . bank . coords . coords_test . dim . dimnames.gpb.Dataset . fit.GPModel . fit . fitGPModel . get_nested_categories . getinfo . gpb.Dataset.construct . gpb.Dataset.create.valid . gpb.Dataset . gpb.Dataset.save . gpb.Dataset.set.categorical . gpb.Dataset.set.reference . gpb.convert_with_rules . gpb.cv . gpb.dump . gpb.get.eval.result . gpb.grid.search.tune.parameters . gpb.importance . gpb.interprete . gpb.load . gpb.model.dt.tree . gpb.plot.importance . gpb.plot.interpretation . gpb.plot.part.dep.interact . gpb.plot.partial.dependence . gpb.save . gpb.train . gpb_shared_params . gpboost . group_data . group_data_test . loadGPModel . neg_log_likelihood.GPModel . neg_log_likelihood . predict.GPModel . predict.gpb.Booster . predict_training_data_random_effects.GPModel . predict_training_data_random_effects . readRDS.gpb.Booster . saveGPModel . saveRDS.gpb.Booster . set_optim_params.GPModel . set_optim_params . set_prediction_data.GPModel . set_prediction_data . setinfo . slice . summary.GPModel . y . 
Some associated R codes: GPModel.R . aliases.R . callback.R . gpb.Booster.R . gpb.Dataset.R . gpb.Predictor.R . gpb.convert_with_rules.R . gpb.cv.R . gpb.importance.R . gpb.interprete.R . gpb.model.dt.tree.R . gpb.plot.importance.R . gpb.plot.interpretation.R . gpb.plot.partial.dependence.R . gpb.train.R . gpboost.R . metrics.R . readRDS.gpb.Booster.R . saveRDS.gpb.Booster.R . utils.R .  Full gpboost package functions and examples
Downloads during the last 30 days
04/0604/0704/0804/0904/1004/1104/1204/1304/1404/1504/1604/1704/1804/1904/2004/2104/2204/2304/2404/2504/2604/2704/2804/2904/3005/0105/0205/0305/0405/05Downloads for gpboost510152025303540TrendBars

Today's Hot Picks in Authors and Packages

HuraultMisc  
Guillem Hurault Functions' Library
Contains various functions for data analysis, notably helpers and diagnostics for Bayesian modelling ...
Download / Learn more Package Citations See dependency  
tbrf  
Time-Based Rolling Functions
Provides rolling statistical functions based on date and time windows instead of n-lagged observatio ...
Download / Learn more Package Citations See dependency  
rotations  
Working with Rotation Data
Tools for working with rotational data, including simulation from the most commonly used distributi ...
Download / Learn more Package Citations See dependency  
netUtils  
A Collection of Tools for Network Analysis
Provides a collection of network analytic (convenience) functions which are missing in other standar ...
Download / Learn more Package Citations See dependency  
tashu  
Analysis and Prediction of Bicycle Rental Amount
Provides functions for analyzing citizens' bicycle usage pattern and predicting rental amount on spe ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  

24,205

R Packages

207,311

Dependencies

65,312

Author Associations

24,206

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA