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# CITATION.cff 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 "ccwr" in publications use:'
type: software
license: MIT
title: 'ccwr: Clone-Censor-Weight Methods for Target Trial Emulation'
version: 0.0.1
doi: 10.32614/CRAN.package.ccwr
abstract: Provides methods for clone-censor-weight analyses that emulate target trials
  with grace-period treatment strategies using observational time-to-event data. Tools
  clone participants across strategies, apply strategy-specific artificial censoring,
  and estimate inverse probability of censoring weights using pooled logistic or Cox
  models, fit weighted outcome models, and obtain subject-level bootstrap confidence
  intervals by repeating the complete analysis. The methods are described by Maringe
  et al. (2020) <https://doi.org/10.1093/ije/dyaa057> and Gaber et al. (2024) <https://doi.org/10.1002/cam4.70461>.
authors:
- family-names: Park
  given-names: Sang Ho
  email: shstat1729@gmail.com
- family-names: Lee
  given-names: Youngrok
- family-names: Baek
  given-names: Jihyeon
- family-names: Yang
  given-names: Hye Won
- family-names: Jeong
  given-names: Donghoon
repository: https://causalinferencelab.r-universe.dev
repository-code: https://github.com/CausalInferenceLab/ccwr
commit: d27a4e8a481c8621339ffaac2c069b223996c96f
url: https://github.com/CausalInferenceLab/ccwr
date-released: '2026-08-20'
contact:
- family-names: Park
  given-names: Sang Ho
  email: shstat1729@gmail.com