doi:10.1198/106186006X137047>). Routines are provided to generate distances from generalised linear models (propensity score matching), formulas giving variables on which to limit matched distances, stratified or exact matching directives, or calipers, alone or in combination.">

optmatch: Functions for Optimal Matching (original) (raw)

Distance based bipartite matching using minimum cost flow, oriented to matching of treatment and control groups in observational studies ('Hansen' and 'Klopfer' 2006 <doi:10.1198/106186006X137047>). Routines are provided to generate distances from generalised linear models (propensity score matching), formulas giving variables on which to limit matched distances, stratified or exact matching directives, or calipers, alone or in combination.

Version: 0.10.8
Depends: R (≥ 3.5.0)
Imports: Rcpp, dplyr, stats, tibble, methods, graphics, rlemon
LinkingTo: Rcpp
Suggests: RItools, boot, biglm, survey, testthat (≥ 0.11.0), roxygen2, brglm, arm, knitr, rmarkdown, markdown, pander, xtable, rrelaxiv, magrittr
Enhances: CBPS, haven
Published: 2024-09-19
DOI: 10.32614/CRAN.package.optmatch
Author: Ben Hansen [aut], Mark Fredrickson [aut], Josh Errickson [cre, aut], Josh Buckner [aut], Adam Rauh [ctb]
Maintainer: Josh Errickson
BugReports: https://github.com/markmfredrickson/optmatch/issues
License: MIT + file
URL: http://optmat.ch, https://github.com/markmfredrickson/optmatch
NeedsCompilation: yes
Additional_repositories: https://errickson.net/rrelaxiv
Citation: optmatch citation info
Materials: NEWS
In views: CausalInference, Optimization
CRAN checks: optmatch results

Documentation:

Downloads:

Reverse dependencies:

Reverse depends: triplesmatch
Reverse imports: MultiObjMatch, polymatching, psBayesborrow, RIIM, vecmatch
Reverse suggests: approxmatch, bigmatch, cobalt, DiPs, DOS, DOS2, htetree, jointVIP, marginaleffects, MatchIt, matchMulti, mccount, PCAmatchR, rcbalance, rcbsubset, stratamatch
Reverse enhances: RItools

Linking:

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