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  "Title": "Match Triples Consisting of Two Controls and a Treated Unit or\nVice Versa",
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  "Authors@R": "c(person(\"Katherine\", \"Brumberg\", role = c(\"aut\", \"cre\",\"cph\"), email = \"kbrum@umich.edu\"))",
  "Description": "Attain excellent covariate balance by matching two treated\nunits and one control unit or vice versa within strata. Using\nsuch triples, as opposed to also allowing pairs of treated and\ncontrol units, allows easier interpretation of the two possible\nweights of observations and better insensitivity to unmeasured\nbias in the test statistic. Using triples instead of matching\nin a fixed 1:2 or 2:1 ratio allows for the match to be feasible\nin more situations. The 'rrelaxiv' package, which provides an\nalternative solver for the underlying network flow problems,\ncarries an academic license and is not available on CRAN, but\nmay be downloaded from 'GitHub' at\n<https://github.com/josherrickson/rrelaxiv/>. The 'Gurobi'\ncommercial optimization software is required to use the two\nfunctions [infsentrip()] and [triplesIP()]. These functions are\nnot essential to the main purpose of this package. A free\nacademic license can be obtained at\n<https://www.gurobi.com/features/academic-named-user-license/>.\nThe 'gurobi' R package can then be installed following the\ninstructions at\n<https://www.gurobi.com/documentation/9.1/refman/ins_the_r_package.html>.",
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  "Repository": "https://kkbrum.r-universe.dev",
  "Date/Publication": "2026-06-04 18:25:06 UTC",
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    {
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      "title": "Create a triples match",
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      ]
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