R Observatory: Metrics for mvLSWimpute version 0.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

mvLSWimpute

0.1.1Package record

Imputation Methods for Multivariate Locally Stationary Time Series

0packages depend

2.6Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Matt NunesCRAN 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. 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-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). 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: 2.3 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.1

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 9includes a package overview page
Examples that run: 100%8 run in a plain check
Exported functions with examples: 100%
Documented parameters: 98%
Return-value docs: 100%
Help pages citing references: 78%

How these are measured

Downloads

2.6K

CRAN downloads in the past year

Rank #18,736 · ~7/day · ~214/mo

Releases R versions

Daily download trend is not available in this view yet.

21830 days

70390 days

2.6K1 year

Compare downloads with other packages →

Also on91 r2u1 autocran25 c2d4u

How downloads are counted

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Installing mvLSWimpute adds 52 packages (33 with compiled code, 50 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, fields 3.9 MB.

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.

How these are counted

Code & Tests

People & History

People (4)

Matt Nunes

Author, Maintainer since 0.1.1 (2022)

Rebecca Wilson

Author

Idris Eckley

Contributor, Thesis advisor

Tim Park

Contributor

Releases (1)

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
0.1.1Latest
record
2022-08-16 · current release
R
R 4.2.0 released · 2022-04-22

Package metadata

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

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 package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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