Other packages > Find by keyword >

triplesmatch  

Match Triples Consisting of Two Controls and a Treated Unit or Vice Versa
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("triplesmatch", "1.1.0")



Attach the package and use:
library("triplesmatch")
Maintained by
Katherine Brumberg
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-10-23
Latest Update: 2024-07-29
Description:
Attain excellent covariate balance by matching two treated units and one control unit or vice versa within strata. Using such triples, as opposed to also allowing pairs of treated and control units, allows easier interpretation of the two possible weights of observations and better insensitivity to unmeasured bias in the test statistic. Using triples instead of matching in a fixed 1:2 or 2:1 ratio allows for the match to be feasible in more situations. 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 <https://github.com/josherrickson/rrelaxiv/>. The 'Gurobi' commercial optimization software is required to use the two functions [infsentrip()] and [triplesIP()]. These functions are not essential to the main purpose of this package. A free academic license can be obtained at <https://www.gurobi.com/features/academic-named-user-license/>. The 'gurobi' R package can then be installed following the instructions at <https://www.gurobi.com/documentation/9.1/refman/ins_the_r_package.html>.
How to cite:
Katherine Brumberg (2023). triplesmatch: Match Triples Consisting of Two Controls and a Treated Unit or Vice Versa. R package version 1.1.0, https://cran.r-project.org/web/packages/triplesmatch. Accessed 16 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:15), 1.0.0 (2023-10-23 17:40)
Other packages that cited triplesmatch R package
View triplesmatch citation profile
Other R packages that triplesmatch depends, imports, suggests or enhances
Complete documentation for triplesmatch
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

schoolmath  
Functions and Datasets for Math Used in School
Contains functions and datasets for math taught in school. A main focus is set to prime-calculation. ...
Download / Learn more Package Citations See dependency  
tibble  
Simple Data Frames
Provides a 'tbl_df' class (the 'tibble') with stricter checking and better formatting than the tradi ...
Download / Learn more Package Citations See dependency  
bbdetection  
Identification of Bull and Bear States of the Market
Implements two algorithms of detecting Bull and Bear markets in stock prices: the algorithm of Pagan ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
Rnmr1D  
Perform the Complete Processing of a Set of Proton Nuclear Magnetic Resonance Spectra
Perform the complete processing of a set of proton nuclear magnetic resonance spectra from the free ...
Download / Learn more Package Citations See dependency  
tarchetypes  
Archetypes for Targets
Function-oriented Make-like declarative pipelines for Statistics and data science are supported in t ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA