Package: approxmatch 2.0

Bikram Karmakar

approxmatch: Approximately Optimal Fine Balance Matching with Multiple Groups

Tools for constructing a matched design with multiple comparison groups. Further specifications of refined covariate balance restriction and exact match on covariate can be imposed. Matches are approximately optimal in the sense that the cost of the solution is at most twice the optimal cost, Crama and Spieksma (1992) <doi:10.1016/0377-2217(92)90078-N>, Karmakar, Small and Rosenbaum (2019) <doi:10.1080/10618600.2019.1584900>.

Authors:Bikram Karmakar

approxmatch_2.0.tar.gz
approxmatch_2.0.zip(r-4.7-any)approxmatch_2.0.zip(r-4.6-any)
approxmatch_2.0.tar.gz(r-4.7-any)approxmatch_2.0.tar.gz(r-4.6-any)
approxmatch_2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
approxmatch/json (API)

# Install 'approxmatch' in R:
install.packages('approxmatch', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • Dodgeram - Dodge ram pk 2500 data on side airbag (SAB) usage from 1995 to 2015

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 7 scripts 356 downloads 5 exports 0 dependencies

Last updated from:073ebec027. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK125
source / vignettesOK158
linux-releaseOK147
windows-develOK68
windows-releaseOK61
wasm-releaseOK112

Exports:covbalancekwaymatchingmultigrp_dist_strucnrbalancematchtripletmatching

Dependencies: