{
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  "Package": "gretel",
  "Title": "Generalized Path Analysis for Social Networks",
  "Version": "0.0.1.9000",
  "Date": "2019-08-09",
  "Authors@R": "person(\"David\", \"Buch\", email = \"davidbuch42@gmail.com\", \nrole = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-4574-0075\"))",
  "Description": "The social network literature features numerous methods\nfor assigning value to paths as a function of their ties.\n'gretel' systemizes these approaches, casting them as instances\nof a generalized path value function indexed by a penalty\nparameter. The package also calculates probabilistic path value\nand identifies optimal paths in either value framework.\nFinally, proximity matrices can be generated in these\nframeworks that capture high-order connections overlooked in\nprimitive adjacency sociomatrices. Novel methods are described\nin Buch (2019)\n<https://davidbuch.github.io/analyzing-networks-with-gretel.html>.\nMore traditional methods are also implemented, as described in\nYang, Knoke (2001) <doi:10.1016/S0378-8733(01)00043-0>.",
  "Maintainer": "David Buch <davidbuch42@gmail.com>",
  "URL": "https://github.com/davidbuch/gretel",
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  "License": "GPL-3",
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  "Repository": "https://davidbuch.r-universe.dev",
  "Date/Publication": "2019-10-14 16:35:51 UTC",
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      "title": "Example data from Opsahl, Agneessens, Skvoretz (2010)",
      "object": "OpsahlEtAl10",
      "class": [
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      "page": "all_opt_gpv",
      "title": "Optimize All Generalized Path Values",
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      "title": "Example data for gretel",
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