About Anaconda Help Download Anaconda

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 998.6 kB | win-64/r-optmatch-0.10.6-r41ha856d6a_1.conda  1 year and 16 days ago 287 main
conda 1003.2 kB | osx-64/r-optmatch-0.10.6-r42h64b2c41_1.conda  1 year and 16 days ago 196 main
conda 1008.0 kB | osx-64/r-optmatch-0.10.6-r43h64b2c41_1.conda  1 year and 16 days ago 204 main
conda 1021.4 kB | linux-64/r-optmatch-0.10.6-r43ha503ecb_1.conda  1 year and 16 days ago 912 main
conda 1015.0 kB | linux-64/r-optmatch-0.10.6-r42ha503ecb_1.conda  1 year and 16 days ago 906 main
conda 997.1 kB | win-64/r-optmatch-0.10.6-r41ha856d6a_0.conda  1 year and 16 days ago 281 main
conda 1003.7 kB | osx-64/r-optmatch-0.10.6-r42h64b2c41_0.conda  1 year and 16 days ago 200 main
conda 1015.0 kB | linux-64/r-optmatch-0.10.6-r42ha503ecb_0.conda  1 year and 16 days ago 889 main

© 2024 Anaconda, Inc. All Rights Reserved. (v4.0.4) Legal | Privacy Policy