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propensity  

A Toolkit for Calculating and Working with Propensity Scores
View on CRAN: Click here


Download and install propensity package within the R console
Install from CRAN:
install.packages("propensity")

Install from Github:
library("remotes")
install_github("cran/propensity")

Install by package version:
library("remotes")
install_version("propensity", "0.1.0")



Attach the package and use:
library("propensity")
Maintained by
Malcolm Barrett
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-02
Latest Update: 2026-03-02
Description:
Calculates propensity score weights for multiple causal 'estimands' across binary, continuous, and categorical exposures. Provides methods for handling extreme propensity scores through trimming, truncation, and calibration. Includes inverse probability weighted estimators that correctly account for propensity score estimation uncertainty.
How to cite:
Malcolm Barrett (2026). propensity: A Toolkit for Calculating and Working with Propensity Scores. R package version 0.1.0, https://cran.r-project.org/web/packages/propensity. Accessed 10 Mar. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited propensity R package
View propensity citation profile
Other R packages that propensity depends, imports, suggests or enhances
Complete documentation for propensity
Functions, R codes and Examples using the propensity R package
Full propensity package functions and examples
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