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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
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): PDRobust_0.3.8.tgz, r-oldrel (arm64): PDRobust_0.3.8.tgz, r-release (x86_64): PDRobust_0.3.8.tgz, r-oldrel (x86_64): PDRobust_0.3.8.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=PDRobust to link to this page.

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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