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GPTreeO

1.0.1

Dividing Local Gaussian Processes for Online Learning Regression

0packages depend
2.1Kdownloads / year
41.8%test coverage
13/13checks pass

Overview

About
Maintained by Timo BraunFirst published 2024-09-232 releasesCRAN page ↗

We implement and extend the Dividing Local Gaussian Process algorithm by Lederer et al. (2020) doi:10.48550/arXiv.2006.09446. Its main use case is in online learning where it is used to train a network of local GPs (referred to as tree) by cleverly partitioning the input space. In contrast to a single GP, 'GPTreeO' is able to deal with larger amounts of data. The package includes methods to create the tree and set its parameter, incorporating data points from a data stream as well as making joint predictions based on all relevant local GPs.

Install

Health

CRAN checks
13OK
Slowest check: 1.4 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.03
41.8%
Coverage · measured lines
100%
Documentation · exports
4
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
17%
References docs
0%

Downloads

2.1K
CRAN downloads in the past year
Rank #21,521 · ~6/day · ~171/mo
Daily download trend is not available in this view yet.
12530 days
50990 days
2.1K1 year
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Also on103 r2u20 autocran

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)
Depends (0)
none
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Contributors (1)
Contributor
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 1.0.1Latest
    2024-10-16 · current release · diff ↗
  • 1.0.0
    2024-09-23
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-09-23
Total releases
2 / 2 yrs
License
MIT + file LICENSE OSI
Download size
200 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GPTreeO")
Braun, T., De Bin, R., & Kvellestad, A. (2024). GPTreeO: Dividing Local Gaussian Processes for Online Learning Regression (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.GPTreeO

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for GPTreeO version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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