spline regression
spreg(
x,
y,
x.eval,
minimum.num.obs = 4,
basis = c("fourier", "bspline"),
rangeval = c(min(x.eval) - 1, max(x.eval)),
nbasis = 11,
...
)
predicted values at 'x.eval'
independent variable
response variable
vector to predict on
minimum number of observations needed to run the regression
what basis to use, "fourier" and "bspline" are available
see fda::create.basis
see fda::create.basis
arguments passed to fad::create.basis
functions