Robust Longitudinal Effects Under Truncation by Death R package PDRobust version 0.3.8 Implements principal-stratification methods for estimating time-specific and pooled heterogeneous treatment effects in longitudinal studies where outcomes may be truncated by death. Supports continuous and binary outcomes, explicit data validation and standardization, and covariate-dependent treatment effects. Fits propensity-score, principal-score, and outcome models and provides subject-level bootstrap inference, covariate-balance diagnostics, principal-stratum summaries, treatment-group-specific survival odds ratios, and outcome-noise sensitivity analysis. Methodological background is provided in <doi:10.48550/arXiv.2608.06654>. Software Depends: R (>= 4.2.0) Imports: ggplot2, quantreg, rootSolve, stats, utils Suggests: knitr, ragg, rmarkdown, testthat (>= 3.0.0) Huan Wang <whhuan42@gmail.com> Comprehensive R Archive Network (CRAN) Huan Wang [aut, cre], Yilin Zhang [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=PDRobust/LICENSE) 2026-10-02 application/tgz https://CRAN.R-project.org/package=PDRobust doi:10.32614/CRAN.package.PDRobust