Artless Automatic or Artful Multivariate Matching for Observational Studies
Overview
Implements a simple version of multivariate matching using a propensity score, near-exact matching, near-fine balance, and robust Mahalanobis distance matching (Rosenbaum 2020 doi:10.1146/annurev-statistics-031219-041058). You specify the variables, and the program does everything else.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 6includes a package overview page
- Examples that run
- 40%2 run in a plain check · 3 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 100%
Downloads
Dependencies
Installing aamatch adds 7 packages (4 with compiled code, 3.7 MB of source tarballs). Heaviest: Rcpp 1.8 MB, xtable 604 KB, rlemon 482 KB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.4.5Latest
- 0.3.72025-06-24
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-06-24
- Total releases
- 2 / 1 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 176 KB / 2 files
- Download size
- 202 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("aamatch")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
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