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designmatch
View on CRAN: Click
here
Download and install designmatch package within the R console
Install from CRAN:
install.packages("designmatch")
Install from Github:
library("remotes")
install_github("cran/designmatch") Install by package version:
library("remotes")
install_version("designmatch", "0.5.5") Attach the package and use:
library("designmatch")
Maintained by
Jose R. Zubizarreta
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-01-29
Latest Update: 2023-08-29
Description:
Includes functions for the construction of matched samples that are balanced and representative by design. Among others, these functions can be used for matching in observational studies with treated and control units, with cases and controls, in related settings with instrumental variables, and in discontinuity designs. Also, they can be used for the design of randomized experiments, for example, for matching before randomization. By default, 'designmatch' uses the 'highs' optimization solver, but its performance is greatly enhanced by the 'Gurobi' optimization solver and its associated R interface. For their installation, please follow the instructions at and . We have also included directions in the gurobi_installation file in the inst folder.
How to cite:
Jose R. Zubizarreta (2016). designmatch: Matched Samples that are Balanced and Representative by Design. R package version 0.5.5, https://cran.r-project.org/web/packages/designmatch. Accessed 05 Aug. 2026.
Previous versions and publish date:
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Other R packages that designmatch depends,
imports, suggests or enhances
Complete documentation for designmatch
Functions, R codes and Examples using
the designmatch R package
Some associated functions: absstddif . bmatch . cardmatch . designmatch-package . distmat . distmatch . ecdfplot . finetab . germancities . lalonde . loveplot . meantab . nmatch . pairsplot . profmatch .
Some associated R codes: problemparameters_profmatch.R . Full designmatch package functions and examples
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