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: 1.0
Depends: nbpMatching, sem, MASS, GenSA, AER
Published: 2016-09-01
Author: Joseph Rigdon, Michael Baiocchi, Sanjay Basu
Maintainer: Joseph Rigdon <jrigdon at stanford.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: nearfar results

Downloads:

Reference manual: nearfar.pdf
Package source: nearfar_1.0.tar.gz
Windows binaries: r-devel: nearfar_1.0.zip, r-release: nearfar_1.0.zip, r-oldrel: nearfar_1.0.zip
OS X El Capitan binaries: r-release: nearfar_1.0.tgz
OS X Mavericks binaries: r-oldrel: nearfar_1.0.tgz

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