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. Methods outlined in further detail in Rigdon, Baiocchi, and Basu (2018) <doi:10.18637/jss.v086.c05>.
| Version: | 1.3 |
| Depends: | nbpMatching |
| Imports: | GenSA, MASS, car, stats |
| Published: | 2024-01-23 |
| DOI: | 10.32614/CRAN.package.nearfar |
| Author: | Joseph Rigdon |
| Maintainer: | Joseph Rigdon <jrigdon at wakehealth.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Citation: | nearfar citation info |
| CRAN checks: | nearfar results |
| Reference manual: | nearfar.pdf |
| Package source: | nearfar_1.3.tar.gz |
| Windows binaries: | r-devel: nearfar_1.3.zip, r-release: nearfar_1.3.zip, r-oldrel: nearfar_1.3.zip |
| macOS binaries: | r-release (arm64): nearfar_1.3.tgz, r-oldrel (arm64): nearfar_1.3.tgz, r-release (x86_64): nearfar_1.3.tgz, r-oldrel (x86_64): nearfar_1.3.tgz |
| Old sources: | nearfar archive |
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