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: | 0.2.0 |
| Depends: | R (≥ 4.0) |
| Imports: | Rcpp, stats |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown, abind, withr |
| Published: | 2025-11-03 |
| DOI: | 10.32614/CRAN.package.fmriAR (may not be active yet) |
| 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 |
| CRAN checks: | fmriAR results |
| Reference manual: | fmriAR.html , fmriAR.pdf |
| Vignettes: |
Getting Started with fmriAR (source, R code) |
| Package source: | fmriAR_0.2.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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