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  "Package": "saeHB.Spatial.Beta",
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  "Title": "Small Area Estimation Hierarchical Bayes for Spatial Beta Model",
  "Version": "0.1.0",
  "Authors@R": "c(person(given = \"Boby\", family = \"Iwan\", role = c(\"aut\", \"cre\"), email = \"bobyiwanboby2122@gmail.com\"), person(given = \"Cucu\", family = \"Sumarni\", role = \"aut\"))",
  "Description": "Provides several functions and datasets for area-level\nSmall Area Estimation using the Hierarchical Bayesian (HB)\nmethod. Model-based estimators are designed for variables of\ninterest that follow a Beta distribution. The package supports\nspatial structures under the Simultaneous Autoregressive (SAR)\nand Leroux Conditional Autoregressive (CAR) models,\naccommodating survey design effect (DEFF) adjustments. The\n'rjags' package is employed to obtain parameter estimates via\nGibbs Sampling. For references, see Rao and Molina (2015)\n<doi:10.1002/9781118735855>, Kubacki and Jedrzejczak (2016)\n<doi:10.59170/stattrans-2016-022>, Leroux et al. (2000)\n<doi:10.1007/978-1-4612-1284-3_4>, and Chung and Datta (2020)\n<https://www.census.gov/content/dam/Census/library/working-papers/2020/adrm/RRS2020-07.pdf>.",
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  "Encoding": "UTF-8",
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  "URL": "https://github.com/BobyIwan/saeHB.Spatial.Beta",
  "BugReports": "https://github.com/BobyIwan/saeHB.Spatial.Beta/issues",
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  "Repository": "https://bobyiwan.r-universe.dev",
  "Date/Publication": "2026-06-14 05:59:28 UTC",
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      "title": "Binary Adjacency Matrix",
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