R Observatory: Metrics for mvLSWimpute version 0.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

mvLSWimpute

0.1.1

Imputation Methods for Multivariate Locally Stationary Time Series

0packages depend

2.5Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Matt NunesFirst published 2022-08-161 releasesCRAN page ↗

Implementation of imputation techniques based on locally stationary wavelet time series forecasting methods from Wilson, R. E. et al. (2021) doi:10.1007/s11222-021-09998-2.

Install

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

install.packages("mvLSWimpute", 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-mvlswimpute

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-mvLSWimpute

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-mvLSWimpute

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

Health

CRAN checks

13OK

Slowest check: 2.4 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

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
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 98%
Return-value docs: 100%
References docs: 78%

Downloads

2.5K

CRAN downloads in the past year

Rank #17,126 · ~7/day · ~205/mo

Releases R versions

Daily download trend is not available in this view yet.

15730 days

62790 days

2.5K1 year

Compare downloads with other packages →

Also on120 r2u10 autocran19 c2d4u

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Depends (2)

wavethresh mvLSW

Imports (5)

binhf xts zoo imputeTSutils

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (4)

Maintainer (1)

Matt Nunes

Author, Maintainer

Authors (2)

Matt Nunes

Author, Maintainer

Rebecca Wilson

Author

Contributors (2)

Idris Eckley

Contributor, Thesis advisor

Tim Park

Contributor

Package Timeline

1 release. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.1.1Latest
2026-03-10 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2022-08-16
Total releases: 1 / 4 yrs
License: GPL-2 OSI
Download size: 14 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("mvLSWimpute")

Format

Nunes, M., Eckley, I., Park, T., & Wilson, R. (2022). mvLSWimpute: Imputation Methods for Multivariate Locally Stationary Time Series (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.mvLSWimpute

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 mvLSWimpute version 0.1.1 [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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