fourier.smooth: Fourier basis for mgcv

In tf: S3 Classes and Methods for Tidy Functional Data

Fourier basis for mgcv

Description

A mgcv-style smooth constructor for Fourier bases, used internally by tfb_spline() when bs = "fourier".

Usage

## S3 method for class 'fourier.smooth.spec'
smooth.construct(object, data, knots)

## S3 method for class 'fourier.smooth'
Predict.matrix(object, data)

Arguments

object	a fitted fourier.smooth object.
data	a list containing the data vector for prediction.
knots	not used.

Value

a smooth specification object with the Fourier basis matrix X and optional second-derivative penalty S.

a design matrix evaluated at the new data points.

Examples

# used internally via tfb_spline:
f <- c(sin(2 * pi * (0:100) / 100), cos(2 * pi * (0:100) / 100))
tf_smooth <- tfb_spline(f, bs = "fourier", k = 11)

tf documentation built on April 7, 2026, 5:07 p.m.