nearfar: Near-Far Matching

Near-far matching is a study design technique for preprocessing observational data to mimic a pair-randomized trial. Individuals are matched to be near on measured confounders and far on levels of an instrumental variable.

Version: 1.2
Depends: nbpMatching
Imports: GenSA, MASS, car, stats
Published: 2018-08-31
Author: Joseph Rigdon, Michael Baiocchi, Sanjay Basu
Maintainer: Joseph Rigdon <jrigdon at stanford.edu>
License: GPL-3
NeedsCompilation: no
Citation: nearfar citation info
CRAN checks: nearfar results

Downloads:

Reference manual: nearfar.pdf
Package source: nearfar_1.2.tar.gz
Windows binaries: r-devel: nearfar_1.2.zip, r-devel-gcc8: nearfar_1.2.zip, r-release: nearfar_1.2.zip, r-oldrel: nearfar_1.2.zip
OS X binaries: r-release: nearfar_1.2.tgz, r-oldrel: nearfar_1.2.tgz
Old sources: nearfar archive

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