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.
Version: 1.3.8 Depends: ggplot2, graphics, PSAgraphics, R (≥ 3.0) Imports: ggthemes, Matching, MatchIt, modeltools, parallel, party, psych, reshape2, rpart, stats, TriMatch, utils Suggests: knitr, rmarkdown Published: 2023-10-23 DOI: 10.32614/CRAN.package.PSAboot Author: Jason Bryer [aut, cre] Maintainer: Jason Bryer <jason at bryer.org> BugReports: https://github.com/jbryer/PSAboot/issues License: GPL-2 | GPL-3 [expanded from: GPL] URL: https://github.com/jbryer/PSAboot NeedsCompilation: no Materials: NEWS CRAN checks: PSAboot results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=PSAboot to link to this page.
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