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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>.
| Version: | 0.0.2 |
| Depends: | R (≥ 4.4.0) |
| Imports: | dplyr, readr, survival, tibble, rlang, glue |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.2.0) |
| Published: | 2026-09-03 |
| DOI: | 10.32614/CRAN.package.ccwr (may not be active yet) |
| Author: | Sang Ho Park [aut, cre], Youngrok Lee [aut], Jihyeon Baek [aut], Hye Won Yang [aut], Donghoon Jeong [aut] |
| Maintainer: | Sang Ho Park <shstat1729 at gmail.com> |
| BugReports: | https://github.com/CausalInferenceLab/ccwr/issues |
| License: | MIT + file LICENSE |
| Copyright: | See inst/COPYRIGHTS ccwr copyright details |
| URL: | https://github.com/CausalInferenceLab/ccwr |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | ccwr results |
| Reference manual: | ccwr.html , ccwr.pdf |
| Vignettes: |
An Overview of the ccwr Package for R (source, R code) |
| Package source: | ccwr_0.0.2.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): ccwr_0.0.2.tgz, r-oldrel (arm64): ccwr_0.0.2.tgz, r-release (x86_64): ccwr_0.0.2.tgz, r-oldrel (x86_64): ccwr_0.0.2.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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