https://causalinferencelab.r-universe.devRecent package updates in causalinferencelabR-universehttps://github.com/causalinferencelab.pnghttps://causalinferencelab.r-universe.devThu, 20 Aug 2026 21:42:58 GMTshstat1729@gmail.com (Sang Ho Park)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>.https://github.com/r-universe/causalinferencelab/actions/runs/37193958826Thu, 20 Aug 2026 21:42:58 GMTccwr0.0.1successhttps://causalinferencelab.r-universe.devhttps://github.com/causalinferencelab/ccwrccwr.Rmdccwr.htmlAn Overview of the ccwr Package for R2026-08-12 00:07:002026-08-18 22:21:45