Preferred alias for fmrismooth_default

See [fmrismooth_default()] for details.

Usage

smooth_auto(
  vec,
  robust = c("huber", "tukey", "none"),
  final = c("joint_bilateral", "guided_filter"),
  backend = c("grid", "permutohedral"),
  t1 = NULL,
  probs = NULL,
  mask = NULL,
  interp_guide = 1L,
  interp_mask = 0L,
  auto_params = TRUE,
  tr = NULL,
  target_fwhm_mm = 5,
  motion_params = NULL,
  design = NULL
)

Arguments

vec: 4D fMRI array or `NeuroVec`.
robust: Robust loss for pre-smoothing: one of `"huber"`, `"tukey"`, or `"none"`.
final: Final stage method: `"joint_bilateral"` or `"guided_filter"`.
backend: Joint bilateral backend label (currently routes to permutohedral).
t1: Optional 3D anatomical guide.
probs: Optional list of 3D probability maps used as additional guides.
mask: Optional 3D logical/0-1 mask.
interp_guide: Guide interpolation mode when resampling with neuroim2.
interp_mask: Mask interpolation mode when resampling with neuroim2.
auto_params: If `TRUE`, auto-estimate parameters via `recommend_params`.
tr: Repetition time (seconds) for auto-params; optional.
target_fwhm_mm: Target spatial FWHM (in mm) for auto-params.
motion_params: Optional motion regressors for temporal weighting.
design: Optional design regressor for design-aware joint bilateral.

Usage

Arguments

See also