Other packages > Find by keyword >

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", "1.3.9")



Attach the package and use:
library("PSAboot")
Maintained by
Jason Bryer
[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 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:16), 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), 1.3.8 (2023-10-23 21:20)
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

funprog  
Functional Programming
High-order functions for data manipulation : sort or group data, given one or more auxiliary func ...
Download / Learn more Package Citations See dependency  
OOBCurve  
Out of Bag Learning Curve
Provides functions to calculate the out-of-bag learning curve for random forests for any measure tha ...
Download / Learn more Package Citations See dependency  
r3PG  
Simulating Forest Growth using the 3-PG Model
Provides a flexible and easy-to-use interface for the Physiological Processes Predicting Growth (3-P ...
Download / Learn more Package Citations See dependency  
extlasso  
Maximum Penalized Likelihood Estimation with Extended Lasso Penalty
Estimates coefficients of extended LASSO penalized linear regression and generalized linear models. ...
Download / Learn more Package Citations See dependency  
RcmdrPlugin.depthTools  
R Commander Depth Tools Plug-in
We provide an Rcmdr plug-in based on the depthTools package, which implements different robust stat ...
Download / Learn more Package Citations See dependency  
visdat  
Preliminary Visualisation of Data
Create preliminary exploratory data visualisations of an entire dataset to identify problems or une ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,081

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA