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# CITATION.cff 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 "magp" in publications use:'
type: software
license: MIT
title: 'magp: Mapping-Based Additive Gaussian Process Models'
version: 0.12.0
doi: 10.32614/CRAN.package.magp
identifiers:
- type: doi
  value: 10.32614/CRAN.package.magp
- type: url
  value: https://twskr.github.io/magp/
abstract: 'Fits mapping-based additive Gaussian process models for experiments in
  which each component has both a quantitative level and a position in an ordered
  sequence. Two model structures are available: a compact two-dimensional mapping
  and a full mapping with one fewer dimension than the number of components. Both
  models support parameter estimation, point prediction, and plug-in predictive uncertainty.
  Input checks validate the sequence data and apply consistent scaling to the quantitative
  inputs. Computationally intensive covariance and gradient calculations are implemented
  in C++ with ''Rcpp''. Initial-design functions combine a space-filling Latin hypercube
  with sequence permutations. The sequence portion can be generated randomly or optimized
  with simulated annealing or space-filling threshold accepting. Expected improvement
  can be optimized over both parts of the input, and a sequential interface supports
  Bayesian optimization of an expensive user-supplied objective. An integrated workflow
  can generate the initial design, evaluate the objective, and continue the sequential
  search in one call. The model was introduced by Xiao et al. (2024) <https://doi.org/10.1080/01621459.2022.2123335>.'
authors:
- family-names: Wang
  given-names: Tony
  email: wangtony883@gmail.com
- family-names: Xiao
  given-names: Qian
preferred-citation:
  type: manual
  title: 'magp: Mapping-Based Additive Gaussian Process Models'
  authors:
  - family-names: Wang
    given-names: Tony
    email: wangtony883@gmail.com
  - family-names: Xiao
    given-names: Qian
  year: '2026'
  notes: R package version 0.12.0
  doi: 10.32614/CRAN.package.magp
  url: https://CRAN.R-project.org/package=magp
repository: https://twskr.r-universe.dev
repository-code: https://github.com/twskr/magp
commit: b4c1d5bf6d0f7857ae21318bbe839996cbfd7fe6
url: https://CRAN.R-project.org/package=magp
date-released: '2026-10-06'
contact:
- family-names: Wang
  given-names: Tony
  email: wangtony883@gmail.com
references:
- type: article
  title: Modeling and Active Learning for Experiments with Quantitative-Sequence Factors
  authors:
  - family-names: Xiao
    given-names: Qian
  - family-names: Wang
    given-names: Yaping
  - family-names: Mandal
    given-names: Abhyuday
  - family-names: Deng
    given-names: Xinwei
  journal: Journal of the American Statistical Association
  year: '2024'
  volume: '119'
  issue: '545'
  doi: 10.1080/01621459.2022.2123335
  start: '407'
  end: '421'