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:	1.1.12
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:	2023-05-11
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_1.1.12.tar.gz
Windows binaries:	r-devel: matchMulti_1.1.12.zip, r-release: matchMulti_1.1.12.zip, r-oldrel: matchMulti_1.1.12.zip
macOS binaries:	r-release (arm64): matchMulti_1.1.12.tgz, r-oldrel (arm64): matchMulti_1.1.12.tgz, r-release (x86_64): matchMulti_1.1.12.tgz, r-oldrel (x86_64): matchMulti_1.1.12.tgz
Old sources:	matchMulti archive

Reverse dependencies:

Reverse imports:

MultiObjMatch

Linking:

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