Package: DCSmooth 1.1.2
DCSmooth: Nonparametric Regression and Bandwidth Selection for Spatial Models
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>.
Authors:
DCSmooth_1.1.2.tar.gz
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DCSmooth.pdf |DCSmooth.html✨
DCSmooth/json (API)
NEWS
# Install 'DCSmooth' in R: |
install.packages('DCSmooth', repos = c('https://bastian-schaefer.r-universe.dev', 'https://cloud.r-project.org')) |
- returns.alv - Returns of Allianz SE
- temp.nunn - Temperatures from Nunn, CO
- temp.yuma - Temperatures from Yuma, AZ
- volumes.alv - Volumes of Allianz SE
- wind.nunn - Wind Speed from Nunn, CO
- wind.yuma - Wind Speed from Yuma, AZ
- y.norm1 - Single Gaussian Peak
- y.norm2 - Double Gaussian Peak
- y.norm3 - Double Gaussian Ridges
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:a26fd36e45. Checks:OK: 1 NOTE: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 17 2024 |
R-4.5-win-x86_64 | NOTE | Nov 17 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 17 2024 |
R-4.4-win-x86_64 | NOTE | Nov 17 2024 |
R-4.4-mac-x86_64 | NOTE | Nov 17 2024 |
R-4.4-mac-aarch64 | NOTE | Nov 17 2024 |
R-4.3-win-x86_64 | NOTE | Nov 17 2024 |
R-4.3-mac-x86_64 | NOTE | Nov 17 2024 |
R-4.3-mac-aarch64 | NOTE | Nov 17 2024 |
Exports:dcskernel.assignkernel.listqarma.estqarma.simsarma.estsarma.simset.optionssfarima.estsfarima.simsurface.dcs
Dependencies:askpassbase64encbslibcachemclicodetoolscolorspacecpp11crosstalkcurldata.tabledigestdoParalleldplyrevaluatefansifarverfastmapfontawesomeforeachfracdifffsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttrisobanditeratorsjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcppRcppArmadillorlangrmarkdownsassscalesstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml