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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>.
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Package details |
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| Author | Bradley Buchsbaum [aut, cre] |
| Maintainer | Bradley Buchsbaum <brad.buchsbaum@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.3.1 |
| URL | https://bbuchsbaum.github.io/fmriAR/ |
| Package repository | View on CRAN |
| Installation |
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