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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.

copied from cf-staging / r-optmatch
Type Size Name Uploaded Downloads Labels
conda 1020.1 kB | win-64/r-optmatch-0.10.8-r43h8ae3a7c_1.conda  19 hours and 2 minutes ago 11 main
conda 1.0 MB | win-64/r-optmatch-0.10.8-r44h8ae3a7c_1.conda  19 hours and 4 minutes ago 12 main
conda 1013.5 kB | osx-64/r-optmatch-0.10.8-r43hb79fae8_1.conda  19 hours and 5 minutes ago 11 main
conda 1.0 MB | osx-64/r-optmatch-0.10.8-r44hb79fae8_1.conda  19 hours and 7 minutes ago 9 main
conda 1.0 MB | linux-64/r-optmatch-0.10.8-r44h93ab643_1.conda  19 hours and 9 minutes ago 19 main
conda 1.0 MB | linux-64/r-optmatch-0.10.8-r43h93ab643_1.conda  19 hours and 9 minutes ago 20 main
conda 1007.0 kB | win-64/r-optmatch-0.10.8-r41he75b88d_0.conda  1 month and 7 days ago 32 main
conda 1013.8 kB | osx-64/r-optmatch-0.10.8-r43hc83a2cd_0.conda  1 month and 7 days ago 23 main
conda 1.0 MB | linux-64/r-optmatch-0.10.8-r43h93ab643_0.conda  1 month and 7 days ago 167 main

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