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smoots

1.1.5Package record

Nonparametric Estimation of the Trend and Its Derivatives in TS

4packages dependsuggested by 1
6.7Kdownloads / year
33.3%test coverage
13/13flavors OK

Overview

About

The nonparametric trend and its derivatives in equidistant time series (TS) with short-memory stationary errors can be estimated. The estimation is conducted via local polynomial regression using an automatically selected bandwidth obtained by a built-in iterative plug-in algorithm or a bandwidth fixed by the user. A Nadaraya-Watson kernel smoother is also built-in as a comparison. With version 1.1.0, a linearity test for the trend function, forecasting methods and backtesting approaches are implemented as well. The smoothing methods of the package are described in Feng, Y., Gries, T., and Fritz, M. (2020) doi:10.1080/10485252.2020.1759598. The software itself is introduced in Feng, Y., Gries, T., Letmathe, S., and Schulz, D. (2022) doi:10.32614/RJ-2022-017.

Changes in 1.1.5
  • further options are enabled in the data-driven bandwidth selection. "msmooth()" and "tsmooth()" now have additional arguments for when an ARMA model is already assumed in the bandwidth selection process: nar_lim, nma_lim, and arma_mean.
  • for "modelCast()", "rollCast()", and "bootCast()", the default of the argument "cores" was adjusted to the maximum of available cores minus 1, while also ensuring that it cannot go below 1.
  • citation information was updated available via citation("smoots").
  • change in maintainer mail address from schulzd@mail.uni-paderborn.de to dominik.schulz.r@gmail.com; the maintainer is, however, still the same person.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 6.8 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-04-22
Show 2 earlier changesHide 2 earlier changes
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.1.5
READMEYes · 816 wordsVignettesNoNEWSYes · 100% structured · mentions 1.1.5Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Cites an R Journal article
Help pages
23includes a package overview page
Examples that run
79%11 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran) · 2 never run
Exported functions with examples
100%
Documented parameters
98%
Return-value docs
100%
Help pages citing references
52%

Downloads

6.7K
CRAN downloads in the past year
Rank #5,289 · ~18/day · ~557/mo
Daily download trend is not available in this view yet.
64230 days
1.6K90 days
6.7K1 year
Compare downloads with other packages →
Also on399 r2u4 autocran121 c2d4u

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)

Installing smoots adds 20 packages (8 with compiled code, 7.5 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB, vctrs 1.0 MB.

Depends (1)
R >= 2.10
Imports (9)
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
4direct
1indirect
Imports 4
Suggested by 1
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

Datasets

People & History

People (5)
Author, Maintainer since 1.0.0 (2019)
formerly Paderborn University, Germany
Author
Paderborn University, Germany
Author
formerly Paderborn University, Germany
Contributor
formerly Paderborn University, Germany
Contributor
Paderborn University, Germany
Releases (8)

Pick two releases to compare their code metrics.

  • 1.1.5Latest
    record
    2026-10-13 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.1.4
    record
    2023-09-11 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 1.1.3
    record
    2021-10-09 · diff ↗
  • 1.1.2
    record
    2021-10-06 · diff ↗
  • 1.1.1
    record
    2021-09-22 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.1.0
    record
    2021-05-12 · diff ↗ ·
    added 9 exports
    bootCast, confBounds, critMatrix, trendCast, normCast, modelCast, optOrd, rescale, rollCast
  • R
    R 4.0.0 released · 2020-04-24
  • 1.0.1
    record
    2019-12-02 · diff ↗
  • 1.0.0
    record
    2019-11-26
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-11-26
Total releases
8 / 7 yrs
License
GPL-3 OSI
Minimum R
≥ 2.10
Bundled data
165 KB / 4 files
Download size
456 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' entry:

citation("smoots")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.32614/rj-2022-017, 10.32614/cran.package.smoots.

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 smoots version 1.1.5 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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