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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.
acorr_diagnostics() on innovations
(whitened residuals).X_by[[pid]] dimensions.fit_noise(),
whiten_apply(), whiten().afni_restricted_plan().acorr_diagnostics().sandwich_from_whitened_resid().These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.