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PSAboot
View on CRAN: Click
here
Download and install PSAboot package within the R console
Install from CRAN:
install.packages("PSAboot")
Install from Github:
library("remotes")
install_github("cran/PSAboot") Install by package version:
library("remotes")
install_version("PSAboot", "1.3.9") Attach the package and use:
library("PSAboot")
Maintained by
Jason Bryer
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-11-26
Latest Update: 2025-09-03
Description:
It is often advantageous to test a hypothesis more than once
in the context of propensity score analysis (Rosenbaum, 2012)
. 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.
How to cite:
Jason Bryer (2013). PSAboot: Bootstrapping for Propensity Score Analysis. R package version 1.3.9, https://cran.r-project.org/web/packages/PSAboot. Accessed 06 Jun. 2026.
Previous versions and publish date:
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