R Observatory: Metrics for DTWUMI version 1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

DTWUMI

1.1Package record

Imputation of Multivariate Time Series Based on Dynamic Time Warping

0packages depend

3Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Emilie Poisson-CaillaultCRAN page ↗Website ↗

Functions to impute large gaps within multivariate time series based on Dynamic Time Warping methods. Gaps of size 1 or inferior to a defined threshold are filled using simple average and weighted moving average respectively. Larger gaps are filled using the methodology provided by Phan et al. (2017) DOI:10.1109/MLSP.2017.8168165: a query is built immediately before/after a gap and a moving window is used to find the most similar sequence to this query using Dynamic Time Warping. To lower the calculation time, similar sequences are pre-selected using global features. Contrary to the univariate method (package 'DTWBI'), these global features are not estimated over the sequence containing the gap(s), but a feature matrix is built to summarize general features of the whole multivariate signal. Once the most similar sequence to the query has been identified, the adjacent sequence to this window is used to fill the gap considered. This function can deal with multiple gaps over all the sequences componing the input multivariate signal. However, for better consistency, large gaps at the same location over all sequences should be avoided.

Install

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

install.packages("DTWUMI", 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-dtwumi

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-DTWUMI

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-DTWUMI

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: 1.0 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-09-17
NOTE14 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1

READMENoVignettesNoNEWSNoCitation fileYes · cites a publicationWebsiteYes

Help pages: 13 (6 internal)
Examples that run: 100%5 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

3K

CRAN downloads in the past year

Rank #8,509 · ~8/day · ~247/mo

Releases R versions

Daily download trend is not available in this view yet.

43130 days

1.1K90 days

3K1 year

Compare downloads with other packages →

Also on101 r2u3 autocran125 c2d4u

How downloads are counted

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Installing DTWUMI adds 12 packages (8 with compiled code, 9.4 MB of source tarballs). Heaviest: data.table 5.7 MB, jsonlite 1.0 MB, XML 937 KB.

Depends (1)

R >= 3.0.0

Imports (7)

dtw rliststatse1071 entropy lsa DTWBI

LinkingTo (0)

none

Suggests (0)

none

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 (3)

Emilie Poisson-Caillault

Author, Maintainer · added in 1.1

Camille Dezecache

Author · added in 1.1

Thi Thu Hong Phan

Author

Maintainer since 1.0 (2018)

Listed in earlier versions (1)

Phan

no longer listed · 1.1

Releases (2)

Pick two releases to compare their code metrics.

1.1Latest
record
2026-09-09 · current release · diff ↗ ·
removed 1 export
pattern:^[[:alpha:]]+

added 5 exports
.features_matrix, .globalfeatures, DTWUMI_1gap_imputation, DTWUMI_imputation, Indexes_size_missing_multi
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
1.0
record
2018-07-13
R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2018-07-13
Total releases: 2 / 8 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.0.0
Bundled data: 18 KB / 1 file
Download size: 31 KB

Appears in task views

Missing Data

Cite

Cite this package

Run in R for the authors' entry:

citation("DTWUMI")

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

It points to 10.1109/mlsp.2017.8168165.

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 DTWUMI version 1.1 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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