README.Rmd

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# <img src="man/figures/PSAgraphics.png" align="right" width="120" align="right" /> PSAgraphics: An R Package to Support Propensity Score Analysis

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`r badger::badge_devel("jbryer/PSAgraphics", "blue")`
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**Contact**: Jason Bryer, Ph.D. [jason@bryer.org](mailto:jason@bryer.org)  
**Website**: https://jbryer.github.io/PSAgraphics/

A collection of functions that primarily produce graphics to aid in a Propensity Score Analysis (PSA). Functions include: `cat.psa` and `box.psa` to test balance within strata of categorical and quantitative covariates, `circ.psa` for a representation of the estimated effect size by stratum, `loess.psa` that provides a graphic and Loess based effect size estimate, and various balance functions that provide measures of the balance achieved via a PSA in a categorical covariate.

For more information, see and cite: 

Helmreich, J. E., & Pruzek, R. M. (2009). PSAgraphics: An R Package to Support Propensity Score Analysis. *Journal of Statistical Software, 29*(6), 1–23. https://doi.org/10.18637/jss.v029.i06

## Installation

You can install the development version of `PSAgraphics` like so:

``` r
install.packages('PSAgraphics')
```

or to download the latest development version:

``` r
remotes::install.packages('jbryer/PSAgraphics')
```