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nearfar  

Near-Far Matching
View on CRAN: Click here


Download and install nearfar package within the R console
Install from CRAN:
install.packages("nearfar")

Install from Github:
library("remotes")
install_github("cran/nearfar")

Install by package version:
library("remotes")
install_version("nearfar", "1.3")



Attach the package and use:
library("nearfar")
Maintained by
Joseph Rigdon
[Scholar Profile | Author Map]
First Published: 2016-09-01
Latest Update: 2024-01-23
Description:
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) .
How to cite:
Joseph Rigdon (2016). nearfar: Near-Far Matching. R package version 1.3, https://cran.r-project.org/web/packages/nearfar. Accessed 02 May. 2025.
Previous versions and publish date:
1.0 (2016-09-01 01:35), 1.1 (2017-06-03 00:22), 1.2 (2018-08-31 03:09)
Other packages that cited nearfar R package
View nearfar citation profile
Other R packages that nearfar depends, imports, suggests or enhances
Complete documentation for nearfar
Functions, R codes and Examples using the nearfar R package
Some associated functions: angrist . calipers . eff_ratio . matches . nearfar-package . opt_nearfar . smahal . summ_matches . summary.nf . 
Some associated R codes: nearfar.R .  Full nearfar package functions and examples
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