nearfar: Near-Far Matching

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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.

Author
Joseph Rigdon, Michael Baiocchi, Sanjay Basu
Date of publication
2016-09-01 01:35:53
Maintainer
Joseph Rigdon <jrigdon@stanford.edu>
License
GPL-3
Version
1.0

View on CRAN

Man pages

asd
Function to compute absolute standardized difference of a...
calipers
Matching priority function
eff.ratio
Inference for effect ratio
matches
Function to find pair matches using a distance matrix....
nearfar-package
\Sexpr[results=rd,stage=build]{tools:::Rd_package_title("nearfar")}
opt.nearfar
Finds optimal near-far match
smahal
Compute rank-based Mahalanobis distance matrix between each...
stat.lambda
Compute test statistic for effect ratio
summ.matches
Computes table of absolute standardized differences

Files in this package

nearfar
nearfar/NAMESPACE
nearfar/R
nearfar/R/nearfar.R
nearfar/MD5
nearfar/build
nearfar/build/partial.rdb
nearfar/DESCRIPTION
nearfar/man
nearfar/man/eff.ratio.Rd
nearfar/man/calipers.Rd
nearfar/man/asd.Rd
nearfar/man/matches.Rd
nearfar/man/opt.nearfar.Rd
nearfar/man/summ.matches.Rd
nearfar/man/smahal.Rd
nearfar/man/stat.lambda.Rd
nearfar/man/nearfar-package.Rd