CRAN/E | rcbalance

rcbalance

Large, Sparse Optimal Matching with Refined Covariate Balance

Installation

About

Tools for large, sparse optimal matching of treated units and control units in observational studies. Provisions are made for refined covariate balance constraints, which include fine and near-fine balance as special cases. Matches are optimal in the sense that they are computed as solutions to network optimization problems rather than greedy algorithms. See Pimentel, et al.(2015) doi:10.1080/01621459.2014.997879 and Pimentel (2016), Obs. Studies 2(1):4-23. The rrelaxiv package, which provides an alternative solver for the underlying network flow problems, carries an academic license and is not available on CRAN, but may be downloaded from Github at .

Key Metrics

Version 1.8.8
R ≥ 3.2.0
Published 2022-03-25 734 days ago
Needs compilation? no
License MIT
License File
CRAN checks rcbalance results

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Maintainer

Maintainer

Samuel D. Pimentel

spi@berkeley.edu

Authors

Samuel D. Pimentel

Material

Reference manual
Package source

In Views

CausalInference

Additional repos

errickson.net/rrelaxiv/

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

rcbalance archive

Depends

R ≥ 3.2.0
MASS
plyr

Imports

rlemon

Suggests

optmatch
testthat
rrelaxiv

Reverse Imports

bigmatch
match2C
MultiObjMatch
rcbsubset