Package: fmriAR
Type: Package
Title: Fast AR and ARMA Noise Whitening for Functional MRI (fMRI)
        Design and Data
Version: 0.3.2
Authors@R: person("Bradley", "Buchsbaum", email = "brad.buchsbaum@gmail.com", role = c("aut","cre"))
Author: Bradley Buchsbaum [aut, cre]
Maintainer: Bradley Buchsbaum <brad.buchsbaum@gmail.com>
Description: 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 <doi:10.1093/biomet/69.1.81>, and a restricted AR
    family mirrors workflows described by Cox (2012)
    <doi:10.1016/j.neuroimage.2011.08.056>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
Depends: R (>= 4.0)
Imports: Rcpp, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, abind, withr
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: OpenMP (optional)
Config/testthat/edition: 3
VignetteBuilder: knitr
URL: https://bbuchsbaum.github.io/fmriAR/
NeedsCompilation: yes
Packaged: 2026-04-15 13:04:43 UTC; bbuchsbaum
Repository: CRAN
Date/Publication: 2026-04-15 13:30:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-25 18:58:58 UTC; unix
Archs: fmriAR.so.dSYM
