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r-optmatch

Anaconda Verified

Distance based bipartite matching using minimum cost flow, oriented to matching of treatment and control groups in observational studies ('Hansen' and 'Klopfer' 2006 <doi:10.1198/106186006X137047>). Routines are provided to generate distances from generalised linear models (propensity score matching), formulas giving variables on which to limit matched distances, stratified or exact matching directives, or calipers, alone or in combination.

Installation

To install this package, run one of the following:

Conda
$conda install r::r-optmatch

Usage Tracking

0.10.6
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Downloads (Last 6 months): 0

About

Summary

Distance based bipartite matching using minimum cost flow, oriented to matching of treatment and control groups in observational studies ('Hansen' and 'Klopfer' 2006 <doi:10.1198/106186006X137047>). Routines are provided to generate distances from generalised linear models (propensity score matching), formulas giving variables on which to limit matched distances, stratified or exact matching directives, or calipers, alone or in combination.

Last Updated

Jan 16, 2024 at 21:28

License

MIT (FOSS)

Total Downloads

39

Supported Platforms

linux-64