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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 "templateICAr" in publications use:'
type: software
license: GPL-3.0-only
title: 'templateICAr: Estimate Brain Networks and Connectivity with ICA and Empirical
  Priors'
version: 0.9.1
doi: 10.1080/01621459.2019.1679638
identifiers:
- type: doi
  value: 10.32614/CRAN.package.templateICAr
abstract: Implements the template ICA (independent components analysis) model proposed
  in Mejia et al. (2020) <https://doi.org/10.1080/01621459.2019.1679638> and the spatial
  template ICA model proposed in proposed in Mejia et al. (2022) <https://doi.org/10.1080/10618600.2022.2104289>.
  Both models estimate subject-level brain as deviations from known population-level
  networks, which are estimated using standard ICA algorithms. Both models employ
  an expectation-maximization algorithm for estimation of the latent brain networks
  and unknown model parameters. Includes direct support for 'CIFTI', 'GIFTI', and
  'NIFTI' neuroimaging file formats.
authors:
- family-names: Mejia
  given-names: Amanda
  email: mandy.mejia@gmail.com
- family-names: Pham
  given-names: Damon
  email: damondpham@gmail.com
  orcid: https://orcid.org/0000-0001-7563-4727
preferred-citation:
  type: article
  title: 'Template Independent Component Analysis: Targeted and Reliable Estimation
    of Subject-level Brain Networks Using Big Data Population Priors'
  authors:
  - family-names: Mejia
    given-names: Amanda F
  - family-names: Nebel
    given-names: Mary Beth
  - family-names: Wang
    given-names: Yikai
  - family-names: Caffo
    given-names: Brian S
  - family-names: Guo
    given-names: Ying
  journal: Journal of the American Statistical Association
  year: '2020'
  volume: '115'
  issue: '531'
  publisher:
    name: American Statistical Association
  doi: 10.1080/01621459.2019.1679638
  start: '1151'
  end: '1177'
repository: https://CRAN.R-project.org/package=templateICAr
repository-code: https://github.com/mandymejia/templateICAr
url: https://github.com/mandymejia/templateICAr
date-released: '2024-11-21'
contact:
- family-names: Mejia
  given-names: Amanda
  email: mandy.mejia@gmail.com
references:
- type: article
  title: Template Independent Component Analysis with spatial priors for accurate
    subject-level brain network estimation and inference
  authors:
  - family-names: Mejia
    given-names: Amanda F
  - family-names: Bolin
    given-names: David
  - family-names: Yue
    given-names: Yu Ryan
  - family-names: Wang
    given-names: Jiongran
  - family-names: Caffo
    given-names: Brian S
  - family-names: Nebel
    given-names: Mary Beth
  journal: Journal of Computational and Graphical Statistics
  year: '2022'
  issue: just-accepted
  publisher:
    name: American Statistical Association
  doi: 10.1080/10618600.2022.2104289
  start: '1'
  end: '35'