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DCSmooth
View on CRAN: Click
here
Download and install DCSmooth package within the R console
Install from CRAN:
install.packages("DCSmooth")
Install from Github:
library("remotes")
install_github("cran/DCSmooth") Install by package version:
library("remotes")
install_version("DCSmooth", "1.1.2") Attach the package and use:
library("DCSmooth")
Maintained by
Bastian Schaefer
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-08-12
Latest Update: 2021-10-21
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)
.
How to cite:
Bastian Schaefer (2021). DCSmooth: Nonparametric Regression and Bandwidth Selection for Spatial Models. R package version 1.1.2, https://cran.r-project.org/web/packages/DCSmooth. Accessed 06 Mar. 2026.
Previous versions and publish date:
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Other R packages that DCSmooth depends,
imports, suggests or enhances
Complete documentation for DCSmooth
Functions, R codes and Examples using
the DCSmooth R package
Some associated functions: DCSmooth-package . dcs . kernel.assign . kernel.list . plot.dcs . print.dcs . print.dcs_options . print.summary_dcs . print.summary_sarma . residuals.dcs . returns.alv . sarma.est . sarma.sim . set.options . sfarima.est . sfarima.sim . summary.dcs . summary.dcs_options . summary.sarma . surface.dcs . temp.nunn . temp.yuma . volumes.alv . wind.nunn . wind.yuma . y.norm1 . y.norm2 . y.norm3 .
Some associated R codes: BandwidthSelection_KR.R . BandwidthSelection_LP.R . DCS_CheckExceptions.R . DCS_HelperFunctionsForMain.R . DCS_MainFunctions.R . DCS_ParallelFunctions.R . DCSmooth-package.R . LM_FunctionsBndwSelection.R . LM_SFARIMAAdditionalFunctions.R . LM_SFARIMAEstimation.R . LM_kdf.R . Methods_DCS.R . Methods_LM_SM.R . RcppExports.R . SM_FunctionsBandwSelection.R . SM_SARMA_AdditionalFunctions.R . SM_SARMA_Estimation.R . SM_SARMA_UserFunctions.R . SM_VarEstimation.R . SM_nonparametric.R . data.R . Full DCSmooth package functions and examples
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