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. 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>
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:, r-release:, r-oldrel:
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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