# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "GPTreeO" in publications use:'
type: software
license: MIT
title: 'GPTreeO: Dividing Local Gaussian Processes for Online Learning Regression'
version: 1.0.1
doi: 10.32614/CRAN.package.GPTreeO
abstract: We implement and extend the Dividing Local Gaussian Process algorithm by
  Lederer et al. (2020) <https://doi.org/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.
authors:
- family-names: Braun
  given-names: Timo
  email: gptreeo.timo.braun@gmail.com
  orcid: https://orcid.org/0009-0001-0965-8285
- family-names: Kvellestad
  given-names: Anders
  orcid: https://orcid.org/0000-0002-5267-7705
repository: https://CRAN.R-project.org/package=GPTreeO
date-released: '2024-10-16'
contact:
- family-names: Braun
  given-names: Timo
  email: gptreeo.timo.braun@gmail.com
  orcid: https://orcid.org/0009-0001-0965-8285