https://github.com/jbryer/psagraphics

Propensity Score Analysis Graphics
https://github.com/jbryer/psagraphics

propensity-score r r-package rstats

Last synced: 3 months ago
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Propensity Score Analysis Graphics

• Host: GitHub
• URL: https://github.com/jbryer/psagraphics
• Owner: jbryer
• Created: 2022-06-22T15:55:44.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2024-03-05T17:22:49.000Z (10 months ago)
• Last Synced: 2024-03-05T18:34:57.923Z (10 months ago)
• Topics: propensity-score, r, r-package, rstats
• Language: R
• Homepage: https://jbryer.github.io/PSAgraphics/
• Size: 11.6 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.Rmd

Awesome Lists containing this project

README

        
---

output: github_document

editor_options: 

  chunk_output_type: console

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

```

#  PSAgraphics: An R Package to Support Propensity Score Analysis

[![R-CMD-check](https://github.com/jbryer/PSAgraphics/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/jbryer/PSAgraphics/actions/workflows/R-CMD-check.yaml)

`r badger::badge_devel("jbryer/PSAgraphics", "blue")`

`r badger::badge_cran_release("PSAgraphics")`

`r badger::badge_cran_checks("PSAgraphics")`

**Contact**: Jason Bryer, Ph.D. [[email protected]](mailto:[email protected])  

**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')

```