CRAN/E | bigmatch

bigmatch

Making Optimal Matching Size-Scalable Using Optimal Calipers

Installation

About

Implements optimal matching with near-fine balance in large observational studies with the use of optimal calipers to get a sparse network. The caliper is optimal in the sense that it is as small as possible such that a matching exists. The main functions in the 'bigmatch' package are optcal() to find the optimal caliper, optconstant() to find the optimal number of nearest neighbors, and nfmatch() to find a near-fine balance match with a caliper and a restriction on the number of nearest neighbors. Yu, R., Silber, J. H., and Rosenbaum, P. R. (2020). doi:10.1214/19-sts699.

Key Metrics

Version 0.6.4
Published 2022-08-11 626 days ago
Needs compilation? no
License MIT
License File
CRAN checks bigmatch results

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Maintainer

Maintainer

Ruoqi Yu

ruoqiyu125@gmail.com

Authors

Ruoqi Yu

Material

Reference manual
Package source

Additional repos

errickson.net/rrelaxiv/

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

bigmatch archive

Imports

rcbalance
stats
liqueueR
plyr
mvnfast
methods

Suggests

optmatch
rrelaxiv