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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>.

Versions across snapshots

VersionRepositoryFileSize
0.3.2 rolling source/ R- fmriAR_0.3.2.tar.gz 131.4 KiB
0.3.2 latest source/ R- fmriAR_0.3.2.tar.gz 131.4 KiB
0.3.2 2026-04-23 source/ R- fmriAR_0.3.2.tar.gz 131.4 KiB
0.3.1 2026-04-09 windows/windows R-4.5 fmriAR_0.3.1.zip 593.4 KiB

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