Thin-plate spline smoother via mgcv::gam

A penalised-spline alternative to the kernel methods above. Fits y ~ s(x, k = k) and returns fitted values at x_eval.

Usage

gam_smoother(x, y, x_eval = NULL, k = 10, family = stats::gaussian())

Arguments

x

Numeric covariate vector.

y

Numeric outcome vector.

x_eval

Evaluation grid (defaults to x).

k

Basis dimension for the smoother (default 10).

family

GLM family for mgcv::gam (default gaussian()).

Value

A list with fit (the fitted gam object), x_eval, y_hat (predictions), and edf (effective degrees of freedom).