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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  17 hours and 11 minutes ago 11 main
conda 1.0 MB | win-64/r-optmatch-0.10.8-r44h8ae3a7c_1.conda  17 hours and 13 minutes ago 11 main
conda 1013.5 kB | osx-64/r-optmatch-0.10.8-r43hb79fae8_1.conda  17 hours and 14 minutes ago 10 main
conda 1.0 MB | osx-64/r-optmatch-0.10.8-r44hb79fae8_1.conda  17 hours and 16 minutes ago 9 main
conda 1.0 MB | linux-64/r-optmatch-0.10.8-r44h93ab643_1.conda  17 hours and 18 minutes ago 18 main
conda 1.0 MB | linux-64/r-optmatch-0.10.8-r43h93ab643_1.conda  17 hours and 19 minutes ago 19 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 166 main

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