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IncDTW

1.1.4.6

Incremental Calculation of Dynamic Time Warping

1packages depend
19.1Kdownloads / year
67.0%test coverage
13/13checks pass

Overview

About
Maintained by Maximilian LeodolterFirst published 2017-07-0320 releasesCRAN page ↗

The Dynamic Time Warping (DTW) distance measure for time series allows non-linear alignments of time series to match similar patterns in time series of different lengths and or different speeds. IncDTW is characterized by (1) the incremental calculation of DTW (reduces runtime complexity to a linear level for updating the DTW distance) - especially for life data streams or subsequence matching, (2) the vector based implementation of DTW which is faster because no matrices are allocated (reduces the space complexity from a quadratic to a linear level in the number of observations) - for all runtime intensive DTW computations, (3) the subsequence matching algorithm runDTW, that efficiently finds the k-NN to a query pattern in a long time series, and (4) C++ in the heart. For details about DTW see the original paper "Dynamic programming algorithm optimization for spoken word recognition" by Sakoe and Chiba (1978) DOI:10.1109/TASSP.1978.1163055. For details about this package, Dynamic Time Warping and Incremental Dynamic Time Warping please see "IncDTW: An R Package for Incremental Calculation of Dynamic Time Warping" by Leodolter et al. (2021) doi:10.18637/jss.v099.i09.

Install

Health

CRAN checks
13OK
Slowest check: 5.2 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.73
67.0%
Coverage · measured lines
100%
Documentation · exports
7
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-07-30
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • WARNING2026-07-27
    12 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 3 earlier snapshots
  • NOTE2026-04-22
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    10 OK · 3 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
61%
Documented parameters
100%
Return-value docs
78%
References docs
53%

Downloads

19.1K
CRAN downloads in the past year
Rank #3,822 · ~52/day · ~1.6K/mo
Daily download trend is not available in this view yet.
49730 days
2.4K90 days
19.1K1 year
Compare downloads with other packages →
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Dependencies

Declared dependencies
23 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 1.1.4.6Latest
    2026-01-09 · current release · diff ↗
  • 1.1.4.5
    2025-10-07 · diff ↗
  • 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
  • 1.1.4.4
    2022-03-16 · diff ↗
  • 1.1.4.3
    2021-09-23 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.1.4.2
    2020-10-09 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 1.1.3.1
    2020-04-01 · diff ↗
  • 1.1.3
    2019-12-18 · diff ↗
  • 1.1.2
    2019-06-27 · diff ↗
  • 1.1.1
    2019-05-24 · diff ↗
Show 14 earlier events
  • R
    R 3.6.0 released · 2019-04-26
  • 1.1.0
    2019-04-08 · diff ↗
  • 1.0.5
    2019-01-03 · diff ↗
  • 1.0.4
    2018-09-11 · diff ↗
  • 1.0.3
    2018-05-14 · diff ↗
  • 1.0.2
    2018-05-11 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 1.0.1
    2018-01-13 · diff ↗
  • 1.0.0
    2017-10-10 · diff ↗
  • 0.1.3
    2017-08-23 · diff ↗
  • 0.1.2
    2017-08-23 · diff ↗
  • 0.1.1
    2017-08-04 · diff ↗
  • 0.1.0
    2017-07-03
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-07-03
Total releases
20 / 9 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 2.10
Bundled data
506 KB / 3 files
Download size
1.5 MB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("IncDTW")
Leodolter, M. (2026). IncDTW: Incremental Calculation of Dynamic Time Warping (Version 1.1.4.6) [Computer software]. https://doi.org/10.32614/CRAN.package.IncDTW

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for IncDTW version 1.1.4.6 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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