NEWS.md

In fmriAR: Fast AR and ARMA Noise Whitening for Functional MRI (fMRI) Design and Data

fmriAR 0.3.1

• fit_noise() gains a censor parameter for motion scrubbing support. Censored timepoints (e.g., frames with high framewise displacement) are excluded from

AR parameter estimation. Accepts either integer indices or a logical vector. The time series is segmented at censor points and ACVF is pooled across valid segments with proper length-weighting.

• whiten() now passes censor to both fit_noise() and whiten_apply().

• The returned fmriAR_plan object now includes the censor indices for downstream reference.

fmriAR 0.3.0

• Vignette corrections and clarity improvements.
• Diagnostics: call acorr_diagnostics() on innovations (whitened residuals).
• ARMA section: added note about Hannan-Rissanen estimation on run-mean series.
• Parcel pooling: clarified X_by[[pid]] dimensions.

fmriAR 0.2.0

• Initial CRAN release.
• Core functionality: fit_noise(), whiten_apply(), whiten().
• AR and ARMA(p,q) noise model estimation.
• Run-aware and parcel-aware pooling options.
• Multi-scale parcel pooling with PACF-weighted and ACVF-pooled modes
• AFNI-compatible restricted AR estimation via afni_restricted_plan().
• Autocorrelation diagnostics via acorr_diagnostics().
• Robust standard errors via sandwich_from_whitened_resid().

fmriAR documentation built on Jan. 26, 2026, 1:07 a.m.