triplesmatch
1.1.0Match Triples Consisting of Two Controls and a Treated Unit or Vice Versa
Overview
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.
Install
Health
- OK2026-08-0413 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0813 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- WARNING2026-06-0712 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 1 earlier snapshots
- NOTE2026-03-1011 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.1.0Latest
- RR 4.4.0 released · 2024-04-24
- 1.0.02023-10-23
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-10-23
- Total releases
- 2 / 3 yrs
- License
- GPL-3 OSI
- Download size
- 32 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Start here. This is the citation for the package itself.
citation("triplesmatch")CRAN DOI
https://doi.org/10.32614/CRAN.package.triplesmatchBibTeX, derived from DESCRIPTION
@Manual{triplesmatch,
title = {triplesmatch: Match Triples Consisting of Two Controls and a Treated Unit or
Vice Versa},
author = {Brumberg, Katherine},
year = {2024},
note = {R package version 1.1.0},
doi = {10.32614/CRAN.package.triplesmatch},
url = {https://CRAN.R-project.org/package=triplesmatch}
}Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.
This is the citation for the package. It is not a citation for the R Observatory.
Cite this page
Use this when the claim is about a measurement on this page.
BibTeX
@misc{robservatorytriplesmatch,
author = {Balamuta, James Joseph},
title = {{R} {Observatory}: Metrics for {triplesmatch} version 1.1.0},
year = {2026},
publisher = {HJJB, LLC},
url = {https://r-observatory.thecoatlessprofessor.com/packages/triplesmatch},
note = {Data set. Data release v2026-08-05}
}APA
Balamuta, J. J. (2026). R Observatory: Metrics for triplesmatch version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/triplesmatchRIS
TY - DATA
AU - Balamuta, James Joseph
TI - R Observatory: Metrics for triplesmatch version 1.1.0
PY - 2026
PB - HJJB, LLC
N1 - Data release v2026-08-05
UR - https://r-observatory.thecoatlessprofessor.com/packages/triplesmatch
ER - In prose
These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/triplesmatch.Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.