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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "tvdenoising" in publications use:'
type: software
license: MIT
title: 'tvdenoising: Univariate Total Variation Denoising'
version: 1.0.0.9000
doi: 10.32614/CRAN.package.tvdenoising
abstract: 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) <https://doi.org/10.1080/10618600.2012.681238>.
authors:
- family-names: Tibshirani
  given-names: Ryan
  email: ryantibs@gmail.com
repository: https://glmgen.r-universe.dev
repository-code: https://github.com/glmgen/tvdenoising
commit: ccd272b1fc3473b6a0f8c1bb73741aab4304b4c4
url: https://glmgen.github.io/tvdenoising/
date-released: '2025-06-13'
contact:
- family-names: Tibshirani
  given-names: Ryan
  email: ryantibs@gmail.com