Nonparametric smoothing techniques for
data on a lattice and functional time series. Smoothing is done via
kernel regression or local polynomial regression, a bandwidth selection
procedure based on an iterative plug-in algorithm is implemented. This
package allows for modeling a dependency structure of the error terms
of the nonparametric regression model.
Methods used in this paper are described in