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: | 1.1.7 |
| Depends: | R (≥ 3.2.3) |
| Imports: | rcbsubset (≥ 1.1.4), plyr, coin, weights, mvtnorm, MASS, Hmisc |
| Suggests: | optmatch, testthat, knitr |
| Published: | 2018-05-17 |
| 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 |
| Reference manual: | matchMulti.pdf |
| Vignettes: |
multiMatch |
| Package source: | matchMulti_1.1.7.tar.gz |
| Windows binaries: | r-devel: matchMulti_1.1.7.zip, r-release: matchMulti_1.1.7.zip, r-oldrel: matchMulti_1.1.7.zip |
| macOS binaries: | r-release: matchMulti_1.1.7.tgz, r-oldrel: matchMulti_1.1.7.tgz |
| Old sources: | matchMulti archive |
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