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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 "AIUQ" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'AIUQ: Ab Initio Uncertainty Quantification'
version: 0.5.3
doi: 10.32614/CRAN.package.AIUQ
abstract: 'Uncertainty quantification and inverse estimation by probabilistic generative
  models from the beginning of the data analysis. An example is a Fourier basis method
  for inverse estimation in scattering analysis of microscopy videos. It does not
  require specifying a certain range of Fourier bases and it substantially reduces
  computational cost via the generalized Schur algorithm. See the reference: Mengyang
  Gu, Yue He, Xubo Liu and Yimin Luo (2023), <https://doi.org/10.48550/arXiv.2309.02468>.'
authors:
- family-names: He
  given-names: Yue
- family-names: Liu
  given-names: Xubo
- family-names: Gu
  given-names: Mengyang
  email: mengyang@pstat.ucsb.edu
repository: https://CRAN.R-project.org/package=AIUQ
date-released: '2024-07-02'
contact:
- family-names: Gu
  given-names: Mengyang
  email: mengyang@pstat.ucsb.edu