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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: 0.3.1
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://bbuchsbaum.r-universe.dev
commit: 6779cd6a53be99cbee7cb2692d2d0242e9227481
url: https://bbuchsbaum.github.io/fmriAR/
date-released: '2026-01-25'
contact:
- family-names: Buchsbaum
  given-names: Bradley
  email: brad.buchsbaum@gmail.com