Type: Package
Package: PSAboot
Title: Bootstrapping for Propensity Score Analysis
Version: 1.3.9
Date: 2024-10-22
Authors@R: 
    person("Jason", "Bryer", , "jason@bryer.org", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-2454-0402"))
Maintainer: Jason Bryer <jason@bryer.org>
Description: It is often advantageous to test a hypothesis more than
        once in the context of propensity score analysis (Rosenbaum,
        2012) <doi:10.1093/biomet/ass032>. The functions in this
        package facilitate bootstrapping for propensity score analysis
        (PSA). By default, bootstrapping using two classification tree
        methods (using 'rpart' and 'ctree' functions), two matching
        methods (using 'Matching' and 'MatchIt' packages), and
        stratification with logistic regression.  A framework is
        described for users to implement additional propensity score
        methods.  Visualizations are emphasized for diagnosing balance;
        exploring the correlation relationships between bootstrap
        samples and methods; and to summarize results.
License: GPL
URL: https://github.com/jbryer/PSAboot
BugReports: https://github.com/jbryer/PSAboot/issues
Depends: ggplot2, graphics, PSAgraphics, R (>= 4.1.0)
Imports: ggthemes, Matching, MatchIt, modeltools, parallel, party,
        psych, reshape2, rpart, stats, TriMatch, utils
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
LazyLoad: yes
RoxygenNote: 7.3.2
Config/pak/sysreqs: cmake make libicu-dev
Repository: https://jbryer.r-universe.dev
Date/Publication: 2025-10-22 14:30:19 UTC
RemoteUrl: https://github.com/jbryer/psaboot
RemoteRef: HEAD
RemoteSha: d17d5aef05259205ddbd939b7ca6b20cf010df2c
NeedsCompilation: no
Packaged: 2026-07-04 14:00:01 UTC; root
Author: Jason Bryer [aut, cre] (ORCID: <https://orcid.org/0000-0002-2454-0402>)