Struct CubicRegressionBasis 

pub struct CubicRegressionBasis {
    pub knots: Array1<f64>,
    /* private fields */
}

Precomputed natural cubic regression spline geometry for a fixed knot set.

Fields

knots: Array1<f64>

Knot locations x*_1 < … < x*_k (strictly increasing).

Implementations

impl CubicRegressionBasis

pub fn new(knots: Array1<f64>) -> Result<Self, BasisError>

Build the cr geometry for a strictly increasing knot vector of length k >= 3. (mgcv requires k >= 3 for a cubic regression spline.)

pub fn num_basis(&self) -> usize

pub fn penalty(&self) -> Array2<f64>

The natural cubic regression roughness penalty S = Dᵀ B⁻¹ D (k×k).

Equivalently S = Dᵀ F_int where F_int = B⁻¹ D are the interior rows of F. We assemble it directly from D and the interior block of F.

pub fn eval_row_into(&self, x: f64, row: &mut [f64])

Evaluate the cr design row for a single point x into row (length k). row is overwritten.

pub fn design(&self, data: ArrayView1<'_, f64>) -> Array2<f64>

Dense n × k design matrix for a column of evaluation points.

Trait Implementations

impl Clone for CubicRegressionBasis

fn clone(&self) -> CubicRegressionBasis

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for CubicRegressionBasis

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.