mspline_basis: Evaluate an M-spline basis matrix at the specified times.

In survextrap: Bayesian Flexible Parametric Survival Modelling and Extrapolation

Evaluate an M-spline basis matrix at the specified times.

Description

Evaluate an M-spline basis matrix at the specified times. Extrapolation beyond the boundary knots is done by assuming that each basis term is constant beyond the boundary.

Usage

mspline_basis(times, knots, degree = 3, integrate = FALSE, bsmooth = TRUE)

Arguments

times	A numeric vector of times at which to evaluate the basis.
knots	Spline knots
degree	Spline degree
integrate	If TRUE, then the integrated M-spline (I-spline) basis is returned.
bsmooth	If TRUE then the function is constrained to also have zero derivative and second derivative at the boundary, which improves smoothness at the boundary.

Details

The lower boundary is fixed to zero, and each basis term is assumed to be zero at times less than zero, since these models are used for hazard functions in survival data.

Value

A two-dimensional array. Rows are the times, and columns are the basis terms.

References

The splines2 package is used.

survextrap documentation built on June 10, 2025, 5:11 p.m.