R Observatory: Metrics for deseats version 1.1.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

deseats

1.1.3Package record

Data-Driven Locally Weighted Regression for Trend and Seasonality in TS

0packages depend

6Kdownloads / year

36.3%test coverage

13/13flavors OK

Overview

About

Maintained by Dominik SchulzCRAN page ↗GitHub ↗

Various methods for the identification of trend and seasonal components in time series (TS) are provided. Among them is a data-driven locally weighted regression approach with automatically selected bandwidth for equidistant short-memory time series. The approach is a combination / extension of the algorithms by Feng (2013) doi:10.1080/02664763.2012.740626 and Feng, Y., Gries, T., and Fritz, M. (2020) doi:10.1080/10485252.2020.1759598 and a brief description of this new method is provided in the package documentation and in more detail in Schulz (2026) doi:10.32614/RJ-2026-025. Furthermore, the package allows its users to apply the base model of the Berlin procedure, version 4.1, as described in Speth (2004) https://www.destatis.de/DE/Methoden/Saisonbereinigung/BV41-methodenbericht-Heft3_2004.pdf?__blob=publicationFile. Permission to include this procedure was kindly provided by the Federal Statistical Office of Germany.

Changes in 1.1.3

Fixed a bug in the predict method for s_semiarma() output that was experienced on machines with one machine core; it is now ensured that the number of cores used in the bootstrap procedure uses at least one core and cannot drop to zero (thanks to Henrik Bengtsson for pointing this out).
Added two arguments ncores and progress_bar in the predict method for s_semiarma() output to control the number of cores used in the bootstrap and whether or not to show a progress bar during the bootstrap procedure.
Change in maintainer email address from dominik.schulz@uni-paderborn.de to dominik.schulz.r@gmail.com; the maintainer is, however, still the same person.
Further updates to the general documentation of the package, so that it is easier to find the package's GitHub repository, to cite the package, etc.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("deseats", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("dschulz13/deseats")

Development version from dschulz13/deseats. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-deseats

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-deseats

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-deseats

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 5.1 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-05-02
NOTE12 OK, 2 NOTE2026-04-22
ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18

Show 1 earlier changeHide 1 earlier change

NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1.3

READMEYes · 401 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.1.3Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Cites an R Journal article

Help pages: 60includes a package overview page
Examples that run: 56%19 run in a plain check · 15 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 70%
Documented parameters: 96%
Return-value docs: 100%
Help pages citing references: 8%

Vignettes (1)

Introduction to deseats HTML

How these are measured

Downloads

6K

CRAN downloads in the past year

Rank #5,643 · ~16/day · ~501/mo

Releases R versions

Daily download trend is not available in this view yet.

60130 days

1.5K90 days

6K1 year

Compare downloads with other packages →

Also on401 r2u11 autocran49 c2d4u

How downloads are counted

Repository

dschulz13/deseats ↗Account: dschulz13

1Stars

0Forks

0Open issues

0Open PRs

0Releases

274Commits

1Commit identities

274 commits · Last activity 2026-10-11

Responsiveness

not measured

How these are measured

PracticesBeta

7 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/dschulz13/deseats on 2026-10-18.

Continuous integration (1)

GitHub Actions

Docs source (2)

README.Rmdpkgdown

Reproducibility and dev environment (1)

data-raw/

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Show all practicesHide 1 practice

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

19 external dependencies (excludes base and recommended)

Installing deseats adds 64 packages (35 with compiled code, 61 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, bslib 5.6 MB.

Depends (2)

R >= 2.10methods

Imports (16)

Rcpp ggplot2statsgraphicsanimationutilsshinytoolszoo future furrr future.apply progressr purrr rlang tidyr

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (5)

badger knitr rmarkdown smoots testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (2)

Dominik Schulz

Author, Maintainer since 1.0.0 (2023)

formerly Paderborn University, Germany

Yuanhua Feng

Author

Paderborn University, Germany

Releases (5)

Pick two releases to compare their code metrics.

1.1.3Latest
record
2026-10-11 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
1.1.2
record
2025-06-23 · diff ↗ ·
added 2 exports
create_gain, run_decomposition
1.1.1
record
2025-06-23 · diff ↗
R
R 4.5.0 released · 2025-04-11
1.1.0
record
2024-07-12 · diff ↗ ·
added 2 exports
seasonplot, seasonplot_gg
R
R 4.4.0 released · 2024-04-24
1.0.0
record
2023-11-08
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2023-11-08
Total releases: 5 / 3 yrs
License: GPL-3 OSI
Minimum R: ≥ 2.10
Bundled data: 28 KB / 15 files
Download size: 311 KB

Appears in task views

Time Series Analysis

Cite

Cite this package

Run in R for the authors' entry:

citation("deseats")

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

It points to 10.32614/rj-2026-025, 10.32614/cran.package.deseats.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for deseats version 1.1.3 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →