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.tar.gz(r-4.5-noble)approxmatch_2.0.tar.gz(r-4.4-noble)
approxmatch_2.0.tgz(r-4.4-emscripten)approxmatch_2.0.tgz(r-4.3-emscripten)
approxmatch.pdf |approxmatch.html
approxmatch/json (API)

# Install 'approxmatch' in R:
install.packages('approxmatch', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • Dodgeram - Dodge ram pk 2500 data on side airbag (SAB) usage from 1995 to 2015

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

5 exports 0.00 score 0 dependencies 5 scripts 230 downloads

Last updated 4 years agofrom:073ebec027. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 11 2024
R-4.5-linuxOKSep 11 2024

Exports:covbalancekwaymatchingmultigrp_dist_strucnrbalancematchtripletmatching

Dependencies: