Package: bigmatch 0.6.4

bigmatch: Making Optimal Matching Size-Scalable Using Optimal Calipers

Implements optimal matching with near-fine balance in large observational studies with the use of optimal calipers to get a sparse network. The caliper is optimal in the sense that it is as small as possible such that a matching exists. The main functions in the 'bigmatch' package are optcal() to find the optimal caliper, optconstant() to find the optimal number of nearest neighbors, and nfmatch() to find a near-fine balance match with a caliper and a restriction on the number of nearest neighbors. Yu, R., Silber, J. H., and Rosenbaum, P. R. (2020). <doi:10.1214/19-sts699>.

Authors:Ruoqi Yu

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bigmatch/json (API)

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

Peer review:

Datasets:
  • nh0506 - Smoking and homocysteine levels in NHANES 2005-2006.

On CRAN:

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

10 exports 1 stars 0.09 score 11 dependencies 9 scripts 378 downloads

Last updated 2 years agofrom:366f5bbee6. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 30 2024
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R-4.5-linuxNOTEAug 30 2024
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Exports:checkedgenumfindexactglovernearfinenetfinenfmatchoptcaloptconstantsmahal

Dependencies:BHiteratorsitertoolsliqueueRMASSmvnfastplyrrcbalanceRcppRcppArmadillorlemon