splinefit: Automatic spline-based model selection

In Alexestat/splineSelection: Automatic model selection in spline-based regression.

Description

Provides optimal number of internal knots and their locations in spline-based models.

Usage

splinefit(
  x,
  y,
  nlimknot,
  lambda,
  delta,
  degree,
  bspline = TRUE,
  b.knots = NULL
)

Arguments

x	Vector of function arguments.
y	Vector of function values.
nlimknot	Maximum number of internal knots.
lambda	Tunning parameter of the penalized least squares estimation process.
delta	Minimal distance value between two consecutive knots.
degree	Degree of the spline basis.
bspline	External knots vector. Default is the (min(x),max(x)).
b.knots	Logical value. If TRUE, B-spline is fitted. Else, natural splines.

Value

A list with selected knots and fitted model.

Alexestat/splineSelection documentation built on Dec. 20, 2020, 5:16 a.m.