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]

tvdenoising_1.0.0.9000.tar.gz
tvdenoising_1.0.0.9000.zip(r-4.7)tvdenoising_1.0.0.9000.zip(r-4.6)tvdenoising_1.0.0.9000.zip(r-4.5)
tvdenoising_1.0.0.9000.tgz(r-4.6-x86_64)tvdenoising_1.0.0.9000.tgz(r-4.6-arm64)tvdenoising_1.0.0.9000.tgz(r-4.5-x86_64)tvdenoising_1.0.0.9000.tgz(r-4.5-arm64)
tvdenoising_1.0.0.9000.tar.gz(r-4.7-arm64)tvdenoising_1.0.0.9000.tar.gz(r-4.7-x86_64)tvdenoising_1.0.0.9000.tar.gz(r-4.6-arm64)tvdenoising_1.0.0.9000.tar.gz(r-4.6-x86_64)
tvdenoising_1.0.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
tvdenoising/json (API)
NEWS

# 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:

Conda:

cpp

3.65 score 1 stars 1 packages 2 scripts 217 downloads 1 exports 2 dependencies

Last updated from:ccd272b1fc. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK117
linux-devel-x86_64OK120
source / vignettesOK166
linux-release-arm64OK115
linux-release-x86_64OK121
macos-release-arm64OK177
macos-release-x86_64OK366
macos-oldrel-arm64OK173
macos-oldrel-x86_64OK344
windows-develOK103
windows-releaseOK89
windows-oldrelOK113
wasm-releaseOK114

Exports:tvdenoising

Dependencies:Rcpprlang