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tvdenoising: Univariate Total Variation Denoising

Total variation denoising can be used to approximate a given sequence of noisy observations by a piecewise constant sequence, with adaptively-chosen break points. An efficient linear-time algorithm for total variation denoising is provided here, based on Johnson (2013) <doi:10.1080/10618600.2012.681238>.

Version:1.0.0
Depends:R (≥ 3.5.0)
Imports:Rcpp,rlang
LinkingTo:Rcpp
Suggests:knitr,rmarkdown,testthat (≥ 3.0.0)
Published:2025-06-13
DOI:10.32614/CRAN.package.tvdenoising
Author:Addison Hu [ctb], Daniel McDonald [ctb], Ryan Tibshirani [aut, cre, cph]
Maintainer:Ryan Tibshirani <ryantibs at gmail.com>
BugReports:https://github.com/glmgen/tvdenoising/issues
License:MIT + fileLICENSE
URL:https://github.com/glmgen/tvdenoising,https://glmgen.github.io/tvdenoising/
NeedsCompilation:yes
Materials:README,NEWS
CRAN checks:tvdenoising results

Documentation:

Reference manual:tvdenoising.html ,tvdenoising.pdf

Downloads:

Package source: tvdenoising_1.0.0.tar.gz
Windows binaries: r-devel:tvdenoising_1.0.0.zip, r-release:tvdenoising_1.0.0.zip, r-oldrel:tvdenoising_1.0.0.zip
macOS binaries: r-release (arm64):tvdenoising_1.0.0.tgz, r-oldrel (arm64):tvdenoising_1.0.0.tgz, r-release (x86_64):tvdenoising_1.0.0.tgz, r-oldrel (x86_64):tvdenoising_1.0.0.tgz

Reverse dependencies:

Reverse imports:rtestim
Reverse linking to:rtestim

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=tvdenoisingto link to this page.


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