Function shape_mean 

pub fn shape_mean(
    data: &FdMatrix,
    argvals: &[f64],
    quotient: ShapeQuotient,
    lambda: f64,
    max_iter: usize,
    tol: f64,
) -> Result<ShapeMeanResult, FdarError>

Compute the Karcher (Frechet) mean in the elastic shape space.

Pre-processes all curves according to the quotient type, then computes the Karcher mean on the preprocessed data.

Arguments

• data — Functional data matrix (n x m).
• argvals — Evaluation points (length m).
• quotient — Which transformations to factor out.
• lambda — Roughness penalty for alignment.
• max_iter — Maximum number of Karcher iterations.
• tol — Convergence tolerance.

Errors

Returns FdarError::InvalidDimension if argvals length does not match m or n < 1.