Package: CMatching 2.4
Massimo Cannas
CMatching: Matching Algorithms for Causal Inference with Clustered Data
Provides functions to perform matching algorithms for causal inference with clustered data, as described in B. Arpino and M. Cannas (2016) <doi:10.1002/sim.6880>. Pure within-cluster and preferential within-cluster matching are implemented. Both algorithms provide causal estimates with cluster-adjusted estimates of standard errors.
Authors:
CMatching_2.4.tar.gz
CMatching_2.4.tar.gz(r-4.5-noble)CMatching_2.4.tar.gz(r-4.4-noble)
CMatching_2.4.tgz(r-4.4-emscripten)CMatching_2.4.tgz(r-4.3-emscripten)
CMatching.pdf |CMatching.html✨
CMatching/json (API)
| # Install 'CMatching' in R: |
| install.packages('CMatching', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- schools - Schools data set
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 10 days agofrom:92e7612e1e. Checks:2 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 10 2025 |
| R-4.5-linux | OK | Feb 10 2025 |
Exports:CMatchCMatchBalanceMatchPWMatchWprint.summary.CMatchsummary.CMatch
Dependencies:bootlatticelme4lmtestMASSMatchingMatrixminqamultiwayvcovnlmenloptrrbibutilsRcppRcppEigenRdpackreformulassandwichzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Matching Algorithms for Causal Inference with Clustered Data | CMatching-package CMatching |
| Within and preferential-within cluster matching. | CMatch |
| Analyze covariate balance before and after matching. | CMatchBalance CMatchBalance.CMatch CMatchBalance.default |
| Preferential Within-cluster Matching | MatchPW |
| Within-cluster Matching | MatchW |
| Schools data set (NELS-88) | schools |
| Summarizing output from MatchW and MatchPW functions | print.summary.CMatch summary.CMatch |