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