Package: psrwe
Title: PS-Integrated Methods for Incorporating Real-World Evidence in
        Clinical Studies
Version: 3.2-2
Authors@R: c(
    person(given = "Chenguang", family = "Wang",
           role = c("aut")),
    person(given = "Trustees of Columbia University",
           role = "cph",
           comment = "tools/make_cpp.R, R/stanmodels.R"),
    person(given = "Wei-Chen", family = "Chen",
           email = "wccsnow@gmail.com",
           role = c("aut", "cre")))
Description: High-quality real-world data can be transformed into
        scientific real-world evidence for regulatory and healthcare
        decision-making using proven analytical methods and techniques.
        For example, propensity score (PS) methodology can be applied
        to select a subset of real-world data containing patients that
        are similar to those in the current clinical study in terms of
        baseline covariates, and to stratify the selected patients
        together with those in the current study into more homogeneous
        strata. Then, statistical methods such as the power prior
        approach or composite likelihood approach can be applied in
        each stratum to draw inference for the parameters of interest.
        This package provides functions that implement the
        PS-integrated real-world evidence analysis methods such as Wang
        et al. (2019) <doi:10.1080/10543406.2019.1657133>, Wang et al.
        (2020) <doi:10.1080/10543406.2019.1684309>, and Chen et al.
        (2020) <doi:10.1080/10543406.2020.1730877>.
Depends: methods, R (>= 4.0), rstan (>= 2.26.0), Rcpp (>= 1.0.5)
License: GPL (>= 3)
URL: https://github.com/olssol/psrwe
BugReports: https://github.com/olssol/psrwe/issues
LinkingTo: BH (>= 1.72.0-3), rstan (>= 2.26.0), Rcpp (>= 1.0.5),
        RcppEigen (>= 0.3.3.7.0), StanHeaders (>= 2.26.0), RcppParallel
        (>= 5.0.2)
Imports: parallel (>= 3.2), cowplot (>= 1.0.0), dplyr (>= 0.8.5),
        ggplot2 (>= 3.3.2), randomForest (>= 4.6-14), survival,
        rstantools (>= 2.1.1)
Suggests: knitr, rmarkdown
Encoding: UTF-8
LazyData: true
ByteCompile: true
SystemRequirements: GNU make
NeedsCompilation: yes
VignetteBuilder: knitr
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>
Config/roxygen2/version: 8.1.0
Packaged: 2026-10-20 08:54:12 UTC; root
Author: Chenguang Wang [aut], Trustees of Columbia University [cph]
        (tools/make_cpp.R, R/stanmodels.R), Wei-Chen Chen [aut, cre]
Config/pak/sysreqs: make
Repository: https://cran.r-universe.dev
Date/Publication: 2026-08-21 05:41:12 UTC
RemoteUrl: https://github.com/cran/psrwe
RemoteRef: HEAD
RemoteSha: ee324e4001e4aebcc2964c6811d9a730d2bd9bb7