optmatch
Functions for Optimal Matching
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.
- Version0.10.8
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?Yes
- optmatch citation info
- Last release09/19/2024
Documentation
Team
Josh Errickson
Adam Rauh
Show author detailsRolesContributorMark Fredrickson
Show author detailsRolesAuthorBen Hansen
Show author detailsRolesAuthorJosh Buckner
Show author detailsRolesAuthor
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