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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 + file LICENSE
URL: https://github.com/glmgen/tvdenoising, https://glmgen.github.io/tvdenoising/
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: tvdenoising results

Documentation:

Reference manual: tvdenoising.pdf

Downloads:

Package source: tvdenoising_1.0.0.tar.gz
Windows binaries: r-devel: not available, 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): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=tvdenoising to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.