R Observatory: Metrics for twdtw version 1.0-1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

twdtw

1.0-1

Time-Weighted Dynamic Time Warping

1packages depend

5.8Kdownloads / year

89.9%test coverage

13/13checks pass

Overview

About

Maintained by Victor MausFirst published 2023-07-132 releasesCRAN page ↗GitHub ↗

Implements Time-Weighted Dynamic Time Warping (TWDTW), a measure for quantifying time series similarity. The TWDTW algorithm, described in Maus et al. (2016) doi:10.1109/JSTARS.2016.2517118 and Maus et al. (2019) doi:10.18637/jss.v088.i05, is applicable to multi-dimensional time series of various resolutions. It is particularly suitable for comparing time series with seasonality for environmental and ecological data analysis, covering domains such as remote sensing imagery, climate data, hydrology, and animal movement. The 'twdtw' package offers a user-friendly 'R' interface, efficient 'Fortran' routines for TWDTW calculations, flexible time weighting definitions, as well as utilities for time series preprocessing and visualization.

Install

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

install.packages("twdtw", 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("vwmaus/twdtw")

Development version from vwmaus/twdtw. 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-twdtw

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-twdtw

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-twdtw

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 2.9 min · r-devel-windows-x86_64

Code health

Yes

Tests · ratio 0.47

89.9%

Coverage · measured lines

100%

Documentation · exports

2

Dependencies · direct

Check history

OK2026-08-04
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-04-22
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 178 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 20%

Downloads

5.8K

CRAN downloads in the past year

Rank #11,353 · ~16/day · ~486/mo

Releases R versions

Daily download trend is not available in this view yet.

24130 days

87890 days

5.8K1 year

Compare downloads with other packages →

Also on415 r2u11 autocran1.1K conda_forge19 c2d4u

Repository

GitHub ↗ vwmaus/twdtw

10Stars

1Forks

3Open issues

0Open PRs

1Releases

97Commits

1Contributors

License GPL-3.0 · 97 commits · Last activity 2023-12-26 · 0% stars, 30d

Stars over time

2025-04-28 · 92026-07-07 · 10

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/vwmaus/twdtw on 2026-08-09.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (2)

Rcpp proxy

LinkingTo (1)

Rcpp

Suggests (2)

rbenchmark testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

1indirect

rasterdiv

Code & Tests

People & History

People (1)

Maintainer (1)

Victor Maus

Author, Maintainer

Authors (1)

Victor Maus

Author, Maintainer

Package Timeline

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

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
1.0-1Latest
2023-08-08 · current release · diff ↗
1.0-0
2023-07-13
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2023-07-13
Total releases: 2 / 3 yrs
License: GPL (>= 3) OSI
Download size: 38 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Time Series Analysis

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("twdtw")

Format

Maus, V. (2023). twdtw: Time-Weighted Dynamic Time Warping (Version 1.0-1) [Computer software]. https://doi.org/10.32614/CRAN.package.twdtw

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 twdtw version 1.0-1 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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