Package: tvdenoising 1.0.0.9000

Ryan Tibshirani

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>.

Authors:Addison Hu [ctb], Daniel McDonald [ctb], Ryan Tibshirani [aut, cre, cph]

# Install 'tvdenoising' in R:

install.packages('tvdenoising', repos = c('https://glmgen.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/glmgen/tvdenoising/issues

Pkgdown/docs site:https://glmgen.github.io

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

cpp

3.65 score 1 stars 1 packages 2 scripts 262 downloads 1 exports 2 dependencies

Last updated from:ccd272b1fc. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	164
linux-devel-x86_64	OK	165
source / vignettes	OK	179
linux-release-arm64	OK	164
linux-release-x86_64	OK	120
macos-release-arm64	OK	117
macos-release-x86_64	OK	321
macos-oldrel-arm64	OK	121
macos-oldrel-x86_64	OK	216
windows-devel-arm64	OK	322
windows-devel-x86_64	OK	128
windows-release-arm64	OK	333
windows-release-x86_64	OK	86
windows-oldrel-x86_64	OK	96
wasm-release	OK	106