Type: Package
Package: GPTreeO
Title: Dividing Local Gaussian Processes for Online Learning Regression
Version: 1.0.1
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
Suggests: knitr, rmarkdown, spelling, testthat
VignetteBuilder: knitr
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
Language: en-US
Repository: https://timo-braun.r-universe.dev
Date/Publication: 2024-10-16 16:06:21 UTC
RemoteUrl: https://github.com/timo-braun/gptreeo
RemoteRef: HEAD
RemoteSha: 98ecac2fd8faf4560235e44e77430220c18de517
NeedsCompilation: no
Packaged: 2026-10-11 08:22:13 UTC; root
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>)