{
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  "Title": "Analysis & Measurement of Promotion Effectiveness",
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  "Date": "2020-03-31",
  "Authors@R": "c(\nperson(\"Nahyun\", \"Kim\", email = \"nhkim1302@ncsoft.com\", role = c(\"cre\", \"aut\")),\nperson(\"Hyemin\", \"Um\", email = \"windy0126@ncsoft.com\", role = \"aut\"),\nperson(\"Eunjo\", \"Lee\", email = \"gimmesilver@ncsoft.com\", role = \"aut\"),\nperson(family = \"NCSOFT Corporation\", role = \"cph\")\n)",
  "Description": "Analysis and measurement of promotion effectiveness on a\ngiven target variable (e.g. daily sales). After converting\npromotion schedule into dummy or smoothed predictor variables,\nthe package estimates the effects of these variables controlled\nfor trend/periodicity/structural change using prophet by Taylor\nand Letham (2017) <doi:10.7287/peerj.preprints.3190v2> and some\nprespecified variables (e.g. start of a month).",
  "License": "BSD_3_clause + file LICENSE",
  "URL": "https://github.com/ncsoft/promotionImpact",
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  "Author": "Nahyun Kim [cre, aut], Hyemin Um [aut], Eunjo Lee [aut], NCSOFT\nCorporation [cph]",
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