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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 "fmriAR" in publications use:'
type: software
license: MIT
title: 'fmriAR: Fast AR and ARMA Noise Whitening for Functional MRI (fMRI) Design
  and Data'
version: 0.3.2
doi: 10.32614/CRAN.package.fmriAR
abstract: Lightweight utilities to estimate autoregressive (AR) and autoregressive
  moving average (ARMA) noise models from residuals and apply matched generalized
  least squares to whiten functional magnetic resonance imaging (fMRI) design and
  data matrices. The ARMA estimator follows a classic 1982 approach <https://doi.org/10.1093/biomet/69.1.81>,
  and a restricted AR family mirrors workflows described by Cox (2012) <https://doi.org/10.1016/j.neuroimage.2011.08.056>.
authors:
- family-names: Buchsbaum
  given-names: Bradley
  email: brad.buchsbaum@gmail.com
repository: https://cran.r-universe.dev
commit: 62840588d0be62a9a7d95ca41f4d771a92832748
url: https://bbuchsbaum.github.io/fmriAR/
date-released: '2026-04-15'
contact:
- family-names: Buchsbaum
  given-names: Bradley
  email: brad.buchsbaum@gmail.com