Type: Package Package: DCSmooth Title: Nonparametric Regression and Bandwidth Selection for Spatial Models Version: 1.1.2 Authors@R: c( person("Bastian", "Schaefer", , "bastian.schaefer@uni-paderborn.de", role = c("aut", "cre")), person("Sebastian", "Letmathe", role = "ctb"), person("Yuanhua Feng", role = "ths") ) Author: Bastian Schaefer [aut, cre], Sebastian Letmathe [ctb], Yuanhua Feng [ths] Maintainer: Bastian Schaefer Description: 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) , Schaefer/Feng (2021) . License: GPL-3 Depends: R (>= 3.1.0) Imports: doParallel, foreach, fracdiff, parallel, plotly, Rcpp, stats Suggests: knitr, rmarkdown, testthat LinkingTo: Rcpp, RcppArmadillo VignetteBuilder: knitr Encoding: UTF-8 LazyData: true RoxygenNote: 7.1.2 NeedsCompilation: yes Packaged: 2021-10-21 14:58:07 UTC; Bastian Schäfer Repository: CRAN Date/Publication: 2021-10-21 15:20:08 UTC