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 |
Reference manual: | tvdenoising.pdf |
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 |
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