{ "_id": "6abb9a0899f7aa8c6aa46a22", "Package": "tipsae", "Title": "Tools for Handling Indices and Proportions in Small Area\nEstimation", "Version": "1.0.3", "Authors@R": "c(person(given = \"Silvia\",\nfamily = \"De Nicolò\",\nrole = c(\"aut\", \"cre\"),\nemail = \"silvia.denicolo@unibo.it\",\ncomment = c(ORCID = \"0000-0001-5052-6527\")),\nperson(given = \"Aldo\",\nfamily = \"Gardini\",\nrole = c(\"aut\"),\nemail = \"aldo.gardini@unibo.it\",\ncomment = c(ORCID = \"0000-0002-2164-5815\")))", "Description": "It allows for mapping proportions and indicators defined\non the unit interval. It implements Beta-based small area\nmethods comprising the classical Beta regression models, the\nFlexible Beta model and Zero and/or One Inflated extensions\n(Janicki 2020 ). Such\nmethods, developed within a Bayesian framework through Stan\n, come equipped with a set of diagnostics\nand complementary tools, visualizing and exporting functions. 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