matchMulti: Optimal Multilevel Matching using a Network Algorithm

Performs multilevel matches for data with cluster- level treatments and individual-level outcomes using a network optimization algorithm. Functions for checking balance at the cluster and individual levels are also provided, as are methods for permutation-inference-based outcome analysis. Details in Pimentel et al. (2018) <doi:10.1214/17-AOAS1118>. The optmatch package, which is useful for running many of the provided functions, may be downloaded from Github at <https://github.com/markmfredrickson/optmatch> if not available on CRAN.

Version: 1.1.11
Depends: R (≥ 3.2.3), rlang, dplyr
Imports: rcbsubset (≥ 1.1.4), plyr, coin, weights, mvtnorm, MASS, sandwich, magrittr
Suggests: optmatch, testthat, knitr, rrelaxiv
Published: 2022-11-16
Author: Luke Keele [aut], Luke Miratrix [aut], Sam Pimentel [aut, cre], Paul Rosenbaum [ctb]
Maintainer: Sam Pimentel <spi at berkeley.edu>
License: MIT + file LICENSE
NeedsCompilation: no
Additional_repositories: https://errickson.net/rrelaxiv/
In views: CausalInference
CRAN checks: matchMulti results

Documentation:

Reference manual: matchMulti.pdf
Vignettes: multiMatch

Downloads:

Package source: matchMulti_1.1.11.tar.gz
Windows binaries: r-devel: matchMulti_1.1.11.zip, r-release: matchMulti_1.1.10.zip, r-oldrel: matchMulti_1.1.11.zip
macOS binaries: r-release (arm64): matchMulti_1.1.11.tgz, r-oldrel (arm64): matchMulti_1.1.11.tgz, r-release (x86_64): matchMulti_1.1.11.tgz, r-oldrel (x86_64): matchMulti_1.1.11.tgz
Old sources: matchMulti archive

Reverse dependencies:

Reverse imports: MultiObjMatch

Linking:

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