{ "_id": "6a1030f5acfb0bcc41c96461", "Package": "zipsae", "Type": "Package", "Title": "Small Area Estimation with Zero-Inflated Model", "Version": "1.0.2", "Authors@R": "c(person(given = \"Fadheel Wisnu\",\nfamily = \"Utomo\",\nrole = c(\"aut\", \"trl\",\"cre\"),\nemail = \"221709671@stis.ac.id\"),\nperson(given = \"Ika Yuni\",\nfamily = \"Wulansari\",\nrole = c(\"aut\",\"ths\"),\nemail = \"ikayuni@stis.ac.id\"\n)\n)", "Description": "This function produces empirical best linier unbiased\npredictions (EBLUPs) for Zero-Inflated data and its Relative\nStandard Error. Small Area Estimation with Zero-Inflated Model\n(SAE-ZIP) is a model developed for Zero-Inflated data that can\nlead us to overdispersion situation. To handle this kind of\nsituation, this model is created. The model in this package is\nbased on Small Area Estimation with Zero-Inflated Poisson model\nproposed by Dian Christien Arisona\n(2018).\nFor the data sample itself, we use combination method between\nRoberto Benavent and Domingo Morales\n(2015) and Sabine Krieg, Harm\nJan Boonstra and Marc Smeets (2016).", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.1.1", "URL": "https://github.com/dheel/zipsae", "BugReports": "https://github.com/dheel/zipsae/issues", "Repository": "https://dheel.r-universe.dev", "Date/Publication": "2025-04-23 02:19:56 UTC", "RemoteUrl": "https://github.com/dheel/zipsae", "RemoteRef": "HEAD", "RemoteSha": "096847742237df3114db7498793d800bf7af84cc", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-12 09:14:31 UTC", "User": "root" }, "Author": "Fadheel Wisnu Utomo [aut, trl, cre],\nIka Yuni Wulansari [aut, ths]", "Maintainer": "Fadheel Wisnu Utomo <221709671@stis.ac.id>", "MD5sum": "c2dcdbbaa80c465f7e0fbed8bd2c52f8", 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