PStrata: Principal Stratification Analysis with Post-Randomization Intervention

Estimating causal effects in the presence of post-treatment confounding using principal stratification. 'PStrata' allows for customized monotonicity assumptions and exclusion restriction assumptions, with automatic full Bayesian inference supported by 'Stan'. The main function to use in this package is PStrata(), which provides posterior estimates of principal causal effect with uncertainty quantification. Visualization tools are also provided for diagnosis and interpretation. See Liu and Li (2023) <arXiv:2304.02740> for details.

Version: 0.0.1
Depends: R (≥ 3.5.0)
Imports: patchwork, ggplot2, rstan, lme4, abind, dplyr, purrr, stringr, stats, rlang
Published: 2023-05-08
Author: Bo Liu [aut, cre], Fan Li [ctb]
Maintainer: Bo Liu <bl226 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README
CRAN checks: PStrata results


Reference manual: PStrata.pdf


Package source: PStrata_0.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): PStrata_0.0.1.tgz, r-oldrel (arm64): PStrata_0.0.1.tgz, r-release (x86_64): PStrata_0.0.1.tgz, r-oldrel (x86_64): PStrata_0.0.1.tgz


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