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: |
1.1.12.1 |
| 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: |
2024-07-01 |
| DOI: |
10.32614/CRAN.package.matchMulti |
| 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:
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