spreg: spline regression

In stfit: Spatio-Temporal Functional Imputation Tool

spline regression

Description

spline regression

Usage

spreg(
  x,
  y,
  x.eval,
  minimum.num.obs = 4,
  basis = c("fourier", "bspline"),
  rangeval = c(min(x.eval) - 1, max(x.eval)),
  nbasis = 11,
  ...
)

Arguments

x	independent variable
y	response variable
x.eval	vector to predict on
minimum.num.obs	minimum number of observations needed to run the regression
basis	what basis to use, "fourier" and "bspline" are available
rangeval	see fda::create.basis
nbasis	see fda::create.basis
...	arguments passed to fad::create.basis functions

Value

predicted values at 'x.eval'

stfit documentation built on Oct. 18, 2022, 5:07 p.m.