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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "GPpenalty" in publications use:'
type: software
license: MIT
title: 'GPpenalty: Penalized Likelihood in Gaussian Processes'
version: 1.0.1
doi: 10.32614/CRAN.package.GPpenalty
abstract: Implements maximum likelihood estimation for Gaussian processes, supporting
  both isotropic and separable models with predictive capabilities. Includes penalized
  likelihood estimation following Li and Sudjianto (2005, <https://doi.org/10.1198/004017004000000671>),
  with cross-validation guided by decorrelated prediction error (DPE) metric. DPE
  metric, motivated by Mahalanobis distance, serves as evaluation criteria that accounts
  for predictive uncertainty in tuning parameter selection (Mutoh, Booth, and Stallrich,
  2025, <https://doi.org/10.48550/arXiv.2511.18111>). Designed specifically for small
  datasets.
authors:
- family-names: Mutoh
  given-names: Ayumi
  email: amutoh@ncsu.edu
repository: https://cran.r-universe.dev
commit: c116c042d6fadafccf1a319b73582426fb287508
date-released: '2025-11-26'
contact:
- family-names: Mutoh
  given-names: Ayumi
  email: amutoh@ncsu.edu