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: | 1.1 |
Depends: | nbpMatching |
Imports: | GenSA, MASS, car, stats |
Published: | 2017-06-02 |
Author: | Joseph Rigdon, Michael Baiocchi, Sanjay Basu |
Maintainer: | Joseph Rigdon <jrigdon at stanford.edu> |
License: | GPL-3 |
NeedsCompilation: | no |
CRAN checks: | nearfar results |
Reference manual: | nearfar.pdf |
Package source: | nearfar_1.1.tar.gz |
Windows binaries: | r-devel: nearfar_1.1.zip, r-release: nearfar_1.1.zip, r-oldrel: nearfar_1.1.zip |
OS X El Capitan binaries: | r-release: nearfar_1.1.tgz |
OS X Mavericks binaries: | r-oldrel: nearfar_1.1.tgz |
Old sources: | nearfar archive |
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