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.
[email protected] is safe to use (health: 46/100)
Get this data programmatically — free, no authentication.
curl https://depscope.dev/api/check/conda/r-optmatchFirst published · 2023-10-09 19:46:47.434000+00:00
Last updated · 2025-09-26 08:10:31.145000+00:00