DCSmooth-package

DCSmooth

package

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 Feng/Schaefer (2021)
<https://ideas.repec.org/p/pdn/ciepap/144.html>, Schaefer/Feng (2021)
<https://ideas.repec.org/p/pdn/ciepap/143.html>.

Bastian Schaefer

Nonparametric Regression and Bandwidth Selection for Spatial
Models

Sebastian Letmathe

Yuanhua Feng 

DCSmooth-package function

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DCSmooth — DCSmooth-package

DCSmooth-package: DCSmooth

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