Construct a functional basis for pupil trajectories — functional_pupil

Part of the research-scale validation, advanced-model, interoperability, storage, adapter, or reproducibility programme. Experimental model functions remain subject to declared evidence gates.

Usage

functional_pupil_basis(x, df = 6L, basis = c("natural_spline", "bspline"),
  degree = 3L, boundary_knots = NULL, knots = NULL)

Arguments

x: Prepared functional pupil data or numeric time vector.
df: Degrees of freedom.
basis: Natural spline or B-spline.
degree: B-spline polynomial degree; ignored for natural splines.
boundary_knots: Optional boundary knots.
knots: Optional internal knots.

Value

The documented eyeprocess object, data frame, plot, report path, or adapter result.