Clone-Censor-Weight Methods for Target Trial Emulation R package ccwr version 0.0.2 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) <doi:10.1093/ije/dyaa057> and Gaber et al. (2024) <doi:10.1002/cam4.70461>. Software Depends: R (>= 4.4.0) Imports: dplyr, readr, survival, tibble, rlang, glue Suggests: knitr, rmarkdown, testthat (>= 3.2.0) Sang Ho Park <shstat1729@gmail.com> Comprehensive R Archive Network (CRAN) Sang Ho Park [aut, cre], Youngrok Lee [aut], Jihyeon Baek [aut], Hye Won Yang [aut], Donghoon Jeong [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=ccwr/LICENSE) 2026-09-03 application/tgz https://CRAN.R-project.org/package=ccwr doi:10.32614/CRAN.package.ccwr