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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 "fastFMM" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'fastFMM: Fast Functional Mixed Models using Fast Univariate Inference'
version: 1.0.1.9000
doi: 10.32614/CRAN.package.fastFMM
abstract: Implementation of the fast univariate inference approach (Cui et al. (2022)
  <https://doi.org/10.1080/10618600.2021.1950006>, Loewinger et al. (2024) <https://doi.org/10.7554/eLife.95802.2>,
  Xin et al. (2025) <https://doi.org/10.7554/eLife.109428.1>) for fitting functional
  mixed models. User guides and Python package information can be found at <https://github.com/gloewing/photometry_FLMM>.
authors:
- family-names: Cui
  given-names: Erjia
  email: ecui@umn.edu
- family-names: Loewinger
  given-names: Gabriel
  email: gloewinger@gmail.com
- family-names: Xin
  given-names: Al
  email: axin@andrew.cmu.edu
repository: https://awqx.r-universe.dev
repository-code: https://github.com/awqx/fastFMM
commit: 11059348272db5aba54a0b0f9de11ec85014acf6
url: https://github.com/awqx/fastFMM
date-released: '2026-05-17'
contact:
- family-names: Xin
  given-names: Al
  email: axin@andrew.cmu.edu