Package: fmriAR 0.3.2

Bradley Buchsbaum

fmriAR: Fast AR and ARMA Noise Whitening for Functional MRI (fMRI) Design and Data

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>.

Authors:Bradley Buchsbaum [aut, cre]

fmriAR_0.3.2.tar.gz
fmriAR_0.3.2.tar.gz(r-4.7-arm64)fmriAR_0.3.2.tar.gz(r-4.7-x86_64)fmriAR_0.3.2.tar.gz(r-4.6-arm64)fmriAR_0.3.2.tar.gz(r-4.6-x86_64)
fmriAR_0.3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
fmriAR/json (API)
NEWS

# Install 'fmriAR' in R:
install.packages('fmriAR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/bbuchsbaum/fmriar/issues

Pkgdown/docs site:https://bbuchsbaum.github.io

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

openblascpp

4.13 score 3 packages 6 scripts 557 downloads 7 exports 2 dependencies

Last updated from:62840588d0. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK153
linux-devel-x86_64OK133
source / vignettesOK265
linux-release-arm64OK143
linux-release-x86_64OK136
wasm-releaseOK119

Exports:acorr_diagnosticsafni_restricted_plancompatfit_noisesandwich_from_whitened_residwhitenwhiten_apply

Dependencies:RcppRcppArmadillo

Getting Started with fmriAR

fmriAR Team

Rendered fromfmriAR-introduction.Rmdusingknitr::rmarkdownon Jun 14 2026.

Last update: 2026-01-25
Started: 2025-11-03