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>.
| Version: | 0.3.1 |
| Depends: | R (≥ 4.0) |
| Imports: | Rcpp, stats |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown, abind, withr |
| Published: | 2026-01-25 |
| DOI: | 10.32614/CRAN.package.fmriAR |
| Author: | Bradley Buchsbaum [aut, cre] |
| Maintainer: | Bradley Buchsbaum <brad.buchsbaum at gmail.com> |
| License: | MIT + file LICENSE |
| URL: | https://bbuchsbaum.github.io/fmriAR/ |
| NeedsCompilation: | yes |
| SystemRequirements: | OpenMP (optional) |
| Materials: | README, NEWS |
| CRAN checks: | fmriAR results |
| Reference manual: | fmriAR.html , fmriAR.pdf |
| Vignettes: |
Getting Started with fmriAR (source, R code) |
| Package source: | fmriAR_0.3.1.tar.gz |
| Windows binaries: | r-devel: fmriAR_0.3.1.zip, r-release: fmriAR_0.3.1.zip, r-oldrel: fmriAR_0.3.1.zip |
| macOS binaries: | r-release (arm64): fmriAR_0.3.1.tgz, r-oldrel (arm64): fmriAR_0.3.1.tgz, r-release (x86_64): fmriAR_0.3.1.tgz, r-oldrel (x86_64): fmriAR_0.3.1.tgz |
| Old sources: | fmriAR archive |
Please use the canonical form https://CRAN.R-project.org/package=fmriAR to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.