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PSAboot  

Bootstrapping for Propensity Score Analysis
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", "1.3.8")



Attach the package and use:
library("PSAboot")
Maintained by
Jason Bryer
[Scholar Profile | Author Map]
First Published: 2013-11-26
Latest Update: 2023-10-23
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 1.3.8, https://cran.r-project.org/web/packages/PSAboot. Accessed 12 Feb. 2025.
Previous versions and publish date:
1.0 (2013-11-26 07:39), 1.1.3 (2015-11-04 18:11), 1.1.4 (2016-12-05 18:28), 1.1 (2014-07-02 21:06), 1.3.6 (2023-03-22 20:50)
Other packages that cited PSAboot R package
View PSAboot citation profile
Other R packages that PSAboot depends, imports, suggests or enhances
Complete documentation for PSAboot
Functions, R codes and Examples using the PSAboot R package
Full PSAboot package functions and examples
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