{ "_id": "6a1401c8acfb0bcc41d3854c", "Package": "FindIt", "Version": "1.3.0", "Date": "2025-09-20", "Title": "Finding Heterogeneous Treatment Effects", "Authors@R": "c(person(given = \"Naoki\",\nfamily = \"Egami\",\nrole = c(\"aut\", \"cre\"),\nemail = \"naoki.egami5@gmail.com\"),\nperson(given = \"Marc\",\nfamily = \"Ratkovic\",\nrole = \"aut\"),\nperson(given = \"Kosuke\",\nfamily = \"Imai\",\nemail = \"imai@harvard.edu\",\nrole = \"aut\"))", "Maintainer": "Naoki Egami ", "Description": "The heterogeneous treatment effect estimation procedure\nproposed by Imai and Ratkovic (2013).\nThe proposed method is applicable, for example, when selecting\na small number of most (or least) efficacious treatments from a\nlarge number of alternative treatments as well as when\nidentifying subsets of the population who benefit (or are\nharmed by) a treatment of interest. 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