Nonparametric Regression and Bandwidth Selection for Spatial Models
Overview
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.
- Parallelization for DCS procedure added.
- Bandwidth selection of derivative estimation improved.
- Additional argument "trim" in surface.dcs for trimming the boundaries of the plot.
- Data sets "returns.alv", "returns.bmw", "volumes.alv", "volumes.bmw" added.
- Bugs in estimation of derivatives ("KR" and "LP") corrected and corresponding error model are fixed.
- Default value in IPI_options$infl_par set to (2,1) for local polynomial regression.
From NEWS.md in the release
Install
Health
CRAN check results are not tracked yet.
Documentation
- Help pages
- 28includes a package overview page
- Examples that run
- 100%16 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 90%
- Return-value docs
- 100%
- Help pages citing references
- 11%
Also includes 1 demo script (run with demo())
Downloads
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2025-09-17email to the maintainer is undeliverable
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.1.2
- 1.0.2
- 1.0.12021-08-12
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2021-08-12
- Total releases
- 3 / 5 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.1.0
- Bundled data
- 1.4 MB / 9 files
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("DCSmooth")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.