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This package was removed from CRAN on 2025-09-17. Its history is shown below.
Reason: email to the maintainer is undeliverable
Details below reflect version 1.1.2, its last release before removal.

DCSmooth

1.1.2Package record

Nonparametric Regression and Bandwidth Selection for Spatial Models

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–downloads / year
–test coverage
–flavors OK

Overview

About

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.

Changes in 1.1.2
  • 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 checks

CRAN check results are not tracked yet.

Advisories

none known

Documentation

In release 1.1.2
READMEYes · 95 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.1.2Citation fileNoWebsitenot declared in DESCRIPTION
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

Daily download trend is not available in this view yet.
Also on383 r2u15 autocran

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.1.0
Imports (7)
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
–indirect (not tracked)

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Author, Maintainer since 1.0.1 (2021)
Thesis advisor · added in 1.1.2
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • archivedRemoved from CRAN
    2025-09-17
    email to the maintainer is undeliverable
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 1.1.2
    record
    2021-10-21 · diff ↗ ·
    added 4 exports
    kernel.assign, kernel.list, sarma.est, sarma.sim
  • 1.0.2
    record
    2021-08-25 · diff ↗ ·
    added 2 exports
    sfarima.est, sfarima.sim
  • 1.0.1
    record
    2021-08-12
  • R
    R 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")
Schaefer, B., Letmathe, S., & Yuanhua Feng. (n.d.). DCSmooth: Nonparametric Regression and Bandwidth Selection for Spatial Models (Version 1.1.2) [Computer software]. Retrieved October 27, 2026, from https://CRAN.R-project.org/package=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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for DCSmooth version 1.1.2 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

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.

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