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DTWBI

1.1

Imputation of Time Series Based on Dynamic Time Warping

1packages depend
4.5Kdownloads / year
test coverage
0/13checks pass

Overview

About
Maintained by Emilie Poisson-CaillaultFirst published 2018-05-292 releasesCRAN page ↗

Functions to impute large gaps within time series based on Dynamic Time Warping methods. It contains all required functions to create large missing consecutive values within time series and to fill them, according to the paper Phan et al. (2017), DOI:10.1016/j.patrec.2017.08.019. Performance criteria are added to compare similarity between two signals (query and reference).

Install

Health

CRAN checks
13NOTE
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
  • NOTE r-devel-linux-x86_64-fedora-clang
  • NOTE r-devel-linux-x86_64-fedora-gcc
  • NOTE r-devel-windows-x86_64
  • NOTE r-oldrel-macos-arm64
  • NOTE r-oldrel-macos-x86_64
  • NOTE r-oldrel-windows-x86_64
  • NOTE r-patched-linux-x86_64
  • NOTE r-release-linux-x86_64
  • NOTE r-release-macos-arm64
  • NOTE r-release-macos-x86_64
  • NOTE r-release-windows-x86_64
Slowest check: 1.1 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
6
Dependencies · direct
Check history
  • NOTE2026-03-10
    0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
not tracked
Return-value docs
not tracked
References docs
8%

Downloads

4.5K
CRAN downloads in the past year
Rank #13,142 · ~12/day · ~378/mo
Daily download trend is not available in this view yet.
22630 days
76890 days
4.5K1 year
Compare downloads with other packages →
Also on135 r2u16 autocran69 c2d4u

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.0.0
Imports (6)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

Datasets

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (6)
no longer listed · 1.0
no longer listed · 1.0
no longer listed · 1.0
no longer listed · 1.1
no longer listed · 1.1
no longer listed · 1.1
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
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 1.1Latest
    2018-07-11 · current release · diff ↗
  • 1.0
    2018-05-29
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-05-29
Total releases
2 / 8 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.0.0
Bundled data
5.0 KB / 1 file
Download size
24 KB
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("DTWBI")

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 DTWBI version 1.1 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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