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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 "rtestim" in publications use:'
type: software
license: MIT
title: 'rtestim: Estimate the Effective Reproductive Number with Trend Filtering'
version: 1.0.2.9001
doi: 10.32614/CRAN.package.rtestim
abstract: Use trend filtering, a type of regularized nonparametric regression, to
  estimate the instantaneous reproduction number, also called Rt. This value roughly
  says how many new infections will result from each new infection today. Values larger
  than 1 indicate that an epidemic is growing while those less than 1 indicate decline.
  For more details about this methodology, see Liu, Cai, Gustafson, and McDonald (2024)
  <https://doi.org/10.1371/journal.pcbi.1012324>.
authors:
- family-names: McDonald
  given-names: Daniel J.
  email: daniel@stat.ubc.ca
- family-names: Liu
  given-names: Jiaping
  email: jiaping.liu@stat.ubc.ca
repository: https://dajmcdon.r-universe.dev
repository-code: https://github.com/dajmcdon/rtestim
commit: fa078efe991c2ed1b90b658e7ec181101665af97
url: https://dajmcdon.github.io/rtestim/
date-released: '2026-05-14'
contact:
- family-names: McDonald
  given-names: Daniel J.
  email: daniel@stat.ubc.ca