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  "Title": "List Balancing for Reweighting and Population Synthesis",
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  "Authors@R": "c(\nperson(\n\"Kyle\", \"Ward\", email = \"kyleward084@gmail.com\",\nrole = c(\"aut\", \"cre\", \"cph\")\n),\nperson(\"Greg\", \"Macfarlane\", email = \"gregmacfarlane@byu.edu\", role = c(\"ctb\")))",
  "Description": "Performs iterative proportional updating given a seed\ntable and an arbitrary number of marginal distributions. This\nis commonly used in population synthesis, survey raking, matrix\nrebalancing, and other applications. For example, a household\nsurvey may be weighted to match the known distribution of\nhouseholds by size from the census. An origin/ destination trip\nmatrix might be balanced to match traffic counts. The approach\nused by this package is based on a paper from Arizona State\nUniversity (Ye, Xin, et. al. (2009)\n<http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.537.723&rep=rep1&type=pdf>).\nSome enhancements have been made to their work including\nprimary and secondary target balance/importance, general\nmarginal agreement, and weight restriction.",
  "License": "Apache License (== 2.0)",
  "URL": "https://github.com/dkyleward/ipfr",
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  "Repository": "https://dkyleward.r-universe.dev",
  "Date/Publication": "2020-04-02 13:02:12 UTC",
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