Package: fmriAR 0.3.1
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:
fmriAR_0.3.1.tar.gz
fmriAR_0.3.1.zip(r-4.7)fmriAR_0.3.1.zip(r-4.6)fmriAR_0.3.1.zip(r-4.5)
fmriAR_0.3.1.tgz(r-4.6-x86_64)fmriAR_0.3.1.tgz(r-4.6-arm64)fmriAR_0.3.1.tgz(r-4.5-x86_64)fmriAR_0.3.1.tgz(r-4.5-arm64)
fmriAR_0.3.1.tar.gz(r-4.7-arm64)fmriAR_0.3.1.tar.gz(r-4.7-x86_64)fmriAR_0.3.1.tar.gz(r-4.6-arm64)fmriAR_0.3.1.tar.gz(r-4.6-x86_64)
fmriAR_0.3.1.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://bbuchsbaum.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bbuchsbaum/fmriar/issues
Pkgdown/docs site:https://bbuchsbaum.github.io
Last updated from:6779cd6a53. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 125 | ||
| linux-devel-x86_64 | OK | 137 | ||
| source / vignettes | OK | 228 | ||
| linux-release-arm64 | OK | 132 | ||
| linux-release-x86_64 | OK | 133 | ||
| macos-release-arm64 | OK | 151 | ||
| macos-release-x86_64 | OK | 264 | ||
| macos-oldrel-arm64 | OK | 79 | ||
| macos-oldrel-x86_64 | OK | 218 | ||
| windows-devel | OK | 109 | ||
| windows-release | OK | 115 | ||
| windows-oldrel | OK | 111 | ||
| wasm-release | OK | 118 |
Exports:acorr_diagnosticscompatfit_noisesandwich_from_whitened_residwhitenwhiten_apply
Dependencies:RcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Autocorrelation diagnostics for residuals | acorr_diagnostics |
| Fit an AR/ARMA noise model (run-aware) and return a whitening plan | fit_noise |
| Pretty-print an fmriAR whitening plan | print.fmriAR_plan |
| GLS standard errors from whitened residuals | sandwich_from_whitened_resid |
| Fit and apply whitening in one call | whiten |
| Apply a whitening plan to design and data matrices | whiten_apply |
