PSpline

class liesel_ptm.PSpline(x, nparam, tau2, name)

Bases: StructuredAdditiveTerm

A P-spline with second-order random walk prior.

Parameters:

• x (Any) – Covariate array.

• nparam (int) – Number of parameters for the P-spline.

• tau2 (Var | Var) – Variance parameter for the singular normal prior.

• name (str) – Unique name of the term.

Methods

Attributes

x	Covariate node.
basis_fn	Basis function.
basis	Basis matrix node.
K	Penalty matrix node.
tau2	Variance parameter node.
coef	Coefficient node.
smooth	Smooth node.
mcmc_kernels	List of liesel.goose.kernel.Kernel MCMC kernel classes.