Package: PStrata
Type: Package
Title: Principal Stratification Analysis in R
Version: 1.0.2
Date: 2026-05-17
Encoding: UTF-8
Authors@R: c(
    person(given = "Bo", family = "Liu", role = c("aut", "cre"), email = "bo.liu1997@gmail.com"),
    person(given = "Fan", family = "Li", role = "ctb", email = "fl35@duke.edu"))
Author: Bo Liu [aut, cre], Fan Li [ctb]
Maintainer: Bo Liu <bo.liu1997@gmail.com>
Description: 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 workflow is
        PStrataModel() to specify the model, fit() to run MCMC
        sampling, estimate() to extract potential outcomes, and
        contrast() to compute causal effects. Visualization tools are
        provided for diagnosis and interpretation. See Liu and Li
        (2023) <doi:10.48550/arXiv.2304.02740> for details.
URL: https://github.com/LauBok/PStrata
BugReports: https://github.com/LauBok/PStrata/issues
Depends: R (>= 3.5.0)
Collate: PStrata-package.R utils.R survival.R prior.R make_stancode.R
        sim_data_normal.R sim_data_Cox.R PStrataModel.R fit.R
        estimate.R contrast.R
License: GPL (>= 2)
Suggests: R.rsp
Imports: ggplot2, rstan, lme4, reformulas, purrr, stringr, stats
LazyData: true
RoxygenNote: 7.3.3
Config/pak/sysreqs: cmake make libicu-dev
Repository: https://laubok.r-universe.dev
Date/Publication: 2026-05-17 17:32:37 UTC
RemoteUrl: https://github.com/laubok/pstrata
RemoteRef: HEAD
RemoteSha: 902dc3b61e31c506e9f9866cf68a5262f2cd08c0
NeedsCompilation: no
Packaged: 2026-07-16 05:22:31 UTC; root