bigmatch: Making Optimal Matching Size-Scalable Using Optimal Calipers

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 number of nearest neighbors. Glover, F. (1967). <DOI:10.1002/nav.3800140304>. Lipski, W., Jr, and Preparata, F. P. (1981). <DOI:10.1007/BF00264533>. Rosenbaum, P.R. (1989). <DOI:10.1080/01621459.1989.10478868>. Yang, D., Small, D. S., Silber, J. H., and Rosenbaum, P. R. (2012). <DOI:10.1111/j.1541-0420.2011.01691.x>.

Getting started

Package details

AuthorRuoqi Yu
MaintainerRuoqi Yu <ruoqiyu@wharton.upenn.edu>
LicenseMIT+file LICENSE
Version0.6.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("bigmatch")

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bigmatch documentation built on April 17, 2020, 1:08 a.m.