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. (2017+), forthcoming in the Annals of Applied Statistics.

Version: 1.1.6
Depends: R (≥ 3.2.3)
Imports: rcbsubset, plyr, coin, weights, mvtnorm, MASS, Hmisc
Suggests: optmatch, testthat, knitr
Published: 2017-11-15
Author: Luke Keele, Sam Pimentel, and Paul Rosenbaum
Maintainer: Sam Pimentel <spi at berkeley.edu>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: matchMulti results

Downloads:

Reference manual: matchMulti.pdf
Vignettes: multiMatch
Package source: matchMulti_1.1.6.tar.gz
Windows binaries: r-devel: matchMulti_1.1.6.zip, r-release: matchMulti_1.1.6.zip, r-oldrel: matchMulti_1.1.6.zip
OS X El Capitan binaries: r-release: matchMulti_1.1.6.tgz
OS X Mavericks binaries: r-oldrel: matchMulti_1.1.6.tgz
Old sources: matchMulti archive

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