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:

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