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Total Variation Regularization

0packages depend
3.1Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Provides tools for denoising noisy signal and images via Total Variation Regularization. Reducing the total variation of the given signal is known to remove spurious detail while preserving essential structural details. For the seminal work on the topic, see Rudin et al (1992) doi:10.1016/0167-2789(92)90242-F.

Install

Health

CRAN checks
13OK
Slowest check: 4.1 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • NOTE12 OK, 1 NOTE2026-06-08
  • OK14 OK2026-04-22
Show 2 earlier changesHide 2 earlier changes
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.3.3
READMENoVignettesYes · 1 · dynamicNEWSYes · 100% structured · does not mention 0.3.3Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
3
Examples that run
33%1 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran) · 1 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
100% with a bibliography file

Downloads

3.1K
CRAN downloads in the past year
Rank #15,150 · ~9/day · ~260/mo
Daily download trend is not available in this view yet.
29930 days
80190 days
3.1K1 year
Compare downloads with other packages →
Also on351 r2u3 autocran

Repository

4Stars
1Forks
0Open issues
0Open PRs
0Releases
13Commits
2Commit identities
13 commits · Last activity 2021-08-22 · The default branch showed an older version (0.3.2) than CRAN on 2026-10-18
Responsiveness
not measured

Stars over time

2025-06-20 · 42026-07-07 · 4
PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/kisungyou/tvr on 2026-10-18.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing tvR adds 4 packages (3 with compiled code, 4.3 MB of source tarballs). Heaviest: Rcpp 1.8 MB, rbibutils 1.1 MB, RcppArmadillo 1.0 MB.

Depends (1)
R >= 2.14.0
Imports (4)
RcppMatrixRdpackutils
LinkingTo (2)
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.1.0 (2017)
Releases (7)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.3.3Latest
    record
    2025-09-22 · current release · 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
  • 0.3.2
    record
    2021-08-22 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 0.3.1
    record
    2019-10-27 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 0.3.0
    record
    2018-09-17 · diff ↗
  • 0.2.0
    record
    2018-05-15 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 0.1.1
    record
    2017-12-08 · diff ↗
  • 0.1.0
    record
    2017-10-24
Show 1 earlier eventHide 1 earlier event
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-10-24
Total releases
7 / 9 yrs
License
MIT + file LICENSE OSI · relicensed from GPL (>= 3) in 0.3.2
Minimum R
≥ 2.14.0
Bundled data
96 KB / 1 file
Download size
607 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("tvR")
You, K. (2025). tvR: Total Variation Regularization (Version 0.3.3) [Computer software]. https://doi.org/10.32614/CRAN.package.tvR

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for tvR version 0.3.3 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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