Regression analysis

Bilinear interpolation

Spline interpolation

Mathematics

Multivariate adaptive regression splines

Basis function

Structural engineering

Regression

Spline (mechanical)

Algorithm

Statistics

Basis (linear algebra)

Engineering

Mathematical analysis

Curvature

Geometry

Computer science

Monotonic function

Applied mathematics

Nonparametric regression

Box spline

Journal of Data Science

Splines are important tools for the flexible modeling of curves and surfaces in regression analyses. Functions for constructing spline basis functions are available in R through the base package splines. When the curves to be modeled have known characteristics in monotonicity or curvature, more efficient statistical inferences are possible with shape-restricted splines. Such splines, however, are not available in the R package splines. The package splines2 provides easy-to-use shape-restricted spline basis functions, along with their derivatives and integrals which are important tools in many inference scenarios. It also provides additional splines and features that are not available in the splines package, such as periodic splines and generalized Bernstein polynomials. The usages of the functions are illustrated with shape-restricted regression, recurrent event data analysis, and extreme-value copulas.

Shape-Restricted Regression Splines with R Package splines2