Type: Package
Package: GPTreeO
Title: Dividing Local Gaussian Processes for Online Learning Regression
Version: 1.1.0
Authors@R: c(
    person(given = "Timo",
           family = "Braun",
           role = c("aut", "cre"),
           comment = c(ORCID = "0009-0001-0965-8285"),
           email = "gptreeo.timo.braun@gmail.com"),
    person(given = "Anders",
           family = "Kvellestad",
           role = "aut",
           comment = c(ORCID = "0000-0002-5267-7705")),
    person(given = "Riccardo",
           family = "De Bin",
           role = "ctb",
           comment = c(ORCID = "0000-0002-7441-6880")))
Maintainer: Timo Braun <gptreeo.timo.braun@gmail.com>
Description: 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.
License: MIT + file LICENSE
Imports: R6, hash, DiceKriging, mlegp, igraph, ggraph, ggplot2
Suggests: knitr, rmarkdown, spelling, testthat, tidyr, dplyr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
Config/roxygen2/version: 8.1.0
NeedsCompilation: no
Packaged: 2026-08-25 10:00:37 UTC; traschpanda
Author: Timo Braun [aut, cre] (ORCID: <https://orcid.org/0009-0001-0965-8285>),
  Anders Kvellestad [aut] (ORCID:
    <https://orcid.org/0000-0002-5267-7705>),
  Riccardo De Bin [ctb] (ORCID: <https://orcid.org/0000-0002-7441-6880>)
Repository: CRAN
Date/Publication: 2026-08-25 10:30:07 UTC
Built: R 4.5.2; ; 2026-08-25 13:04:16 UTC; unix
