deseats

1.1.2

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

0packages depend

5.4Kdownloads / year

10.7%test coverage

13/13checks pass

Overview

About

Maintained by Dominik SchulzFirst published 2023-11-084 releasesCRAN page ↗

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. 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.

Install

R (CRAN)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.

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.

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).

Health

CRAN checks

13OK

Slowest check: 4.8 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.05

10.7%

Coverage · measured lines

100%

Documentation · exports

Dependencies · direct

Check history

OK2026-05-02
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-04-22
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 386 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 56%
Documented parameters: 96%
Return-value docs: 100%
References docs: 8%

Downloads

5.4K

CRAN downloads in the past year

Rank #5,659 · ~15/day · ~454/mo

Releases R versions

Daily download trend is not available in this view yet.

45730 days

1.7K90 days

5.4K1 year

Compare downloads with other packages →

Also on436 r2u35 autocran27 c2d4u

Dependencies

Declared dependencies

19 external dependencies (excludes base and recommended)

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.

Code & Tests

Code Composition

R 6,127 (55%)Rd 3,363 (30%)C++ 1,536 (14%)Vignettes 118 (1%)

Code characteristics

Object systems

S4 class10S4 generic16S4 method33

Cyclomatic complexity: 1.0 median / 26 max
Test cases: 20 / 0.05 per code line

Test coverage

Line coverage

11%

Expression

12.6%

Tests / Examples

10.7% / 45% ex

Functions

149 22 exported

Complexity

2.4 avg / 26 max

Call network

149 nodes / 111 edges

Call graph

Open call graph →

Loading call graph…

Lowest coverage

149 functions

Function	Cyclo	Coverage
bwidth_confint exp	8	0%
create.gain exp	2	0%
create_gain exp	2	0%
deseats exp	11	0%
hA_calc exp	11	0%
hamilton_filter exp	2	0%

Datasets

Bundled datasets · 10

Name	Class	Rows × Cols	Also ships in
CIVLABOR	ts	–	–
COVID	ts	–	–
DEATHS	ts	–	–
EXPENDITURES	ts	–	–
LIVEBIRTHS	ts	–	–
NOLABORFORCE	ts	–	–
RAINFALL	ts	–	–
SAVINGS	ts	–	–
SUNSHINE	ts	–	–
TEMPERATURE	ts	–	–

1 internal object is bundled for the package's own use and not listed here.

People & History

People (2)

Maintainer (1)

Dominik Schulz

Author, Maintainer

Authors (2)

Dominik Schulz

Author, Maintainer

Yuanhua Feng

Author

Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
1.1.2Latest
2026-03-16 · current release · diff ↗
1.1.1
2025-06-23 · diff ↗
R
R 4.5.0 released · 2025-04-11
1.1.0
2024-07-12 · diff ↗
R
R 4.4.0 released · 2024-04-24
1.0.0
2023-11-08
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2023-11-08
Total releases: 4 / 3 yrs
License: GPL-3 OSI
Minimum R: ≥ 2.10
Bundled data: 28 KB / 15 files
Download size: 259 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Time Series Analysis

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