fmriAR 0.3.2

• 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.

• Fixed a bug where fit_noise(method = "ar", p = <integer>) could ignore the requested fixed AR order and still perform order selection, sometimes returning a different order.

• Fixed parcel-mode AR fitting so fixed-order requests only trigger multiscale pooling when that mode is explicitly requested, preserving the expected non-multiscale behavior by default.

• Fixed the parcel pacf_weighted multiscale path for p_target = 1, where a dimension drop could break coefficient averaging.

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().