Propensity Score Matching for Unordered 3-Group Data
Overview
You can use this program for 3 sets of categorical data for propensity score matching. Assume that the data has 3 different categorical variables. You can use it to perform propensity matching of baseline indicator groupings. The matching will make the differences in the baseline data smaller. This method was described by Alvaro Fuentes (2022) doi:10.1080/00273171.2021.1925521.
Install
Health
NOTERd contentsr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Rd files without \usage: ‘pm3.Rd’ ‘pm3fit.Rd’ \arguments should not be documented without \usage.
- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 1 NOTE2026-07-11
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK13 OK2026-05-02
- ERROR11 OK, 1 ERROR2026-04-25
Show 1 earlier changeHide 1 earlier change
- OK14 OK2026-03-10
Documentation
- Help pages
- 5
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- not tracked
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Package metadata
- First published
- 2023-03-03
- Total releases
- 7 / 3 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.2.0
- Bundled data
- 1.7 KB / 1 file
- Download size
- 6.6 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("pm3")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.