PDRobust: Robust Longitudinal Effects Under Truncation by Death

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>.

Version: 0.3.8
Depends: R (≥ 4.2.0)
Imports: ggplot2, quantreg, rootSolve, stats, utils
Suggests: knitr, ragg, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-10-02
DOI: 10.32614/CRAN.package.PDRobust (may not be active yet)
Author: Huan Wang [aut, cre], Yilin Zhang [aut]
Maintainer: Huan Wang <whhuan42 at gmail.com>
BugReports: https://github.com/whhuan/PD_Robust/issues
License: MIT + file LICENSE
URL: https://github.com/whhuan/PD_Robust, https://whhuan.github.io/PD_Robust/
NeedsCompilation: no
Citation: PDRobust citation info
Materials: README, NEWS
CRAN checks: PDRobust results

Documentation:

Reference manual: PDRobust.html , PDRobust.pdf
Vignettes: Details for function DataCheck (source, R code)
Detailed Function Presentation (source, R code)
Data requirements and standardization (source, R code)
Diagnostics, profiling, and sensitivity analysis (source, R code)
Estimate the heterogeneous treatment effect (source, R code)
Treatment coding and interpretation (source, R code)
Prediction models (source, R code)

Downloads:

Package source: PDRobust_0.3.8.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: PDRobust_0.3.8.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): PDRobust_0.3.8.tgz, r-oldrel (x86_64): PDRobust_0.3.8.tgz

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