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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "GEMSS" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'GEMSS: Generalization Error Minimization in SubSampling for Gaussian Processes'
version: 0.1.1
doi: 10.1080/00401706.2026.2670596
identifiers:
- type: doi
  value: 10.32614/CRAN.package.GEMSS
abstract: Implements the Generalization Error Minimization in SubSampling (GEMSS)
  algorithm for sequential subdata selection in large-scale Gaussian process modeling
  (Chang, Hua, and Wu, 2026) <https://doi.org/10.1080/00401706.2026.2670596>. The
  method selects data points by a criterion consisting of predictive and space-filling
  parts, enabling efficient surrogate modeling for massive datasets.
authors:
- family-names: Hua
  given-names: Sheng-Zhan
  email: szhua@g.ucla.edu
preferred-citation:
  type: article
  title: GEMSS-Driven Subsampling for Information Extraction and Redundancy Elimination
  authors:
  - family-names: Chang
    given-names: Ming-Chung
  - family-names: Hua
    given-names: Sheng-Zhan
    email: szhua@g.ucla.edu
  - family-names: Wu
    given-names: C. F. Jeff
  journal: Technometrics
  year: '2026'
  doi: 10.1080/00401706.2026.2670596
  start: 1-20
repository: https://szhua-stat.r-universe.dev
commit: 483cb60f12f59a7cc9db7a4635aa25c8066bc784
date-released: '2026-05-27'
contact:
- family-names: Hua
  given-names: Sheng-Zhan
  email: szhua@g.ucla.edu