{ "_id": "6ad715f5d556c3a3418a6822", "Package": "saeeb", "Type": "Package", "Title": "Small Area Estimation for Count Data", "Version": "0.1.0", "Author": "Rizki Ananda Fauziah, Ika Yuni Wulansari", "Maintainer": "Rizki Ananda Fauziah ", "Description": "Provides small area estimation for count data type and\ngives option whether to use covariates in the estimation or\nnot. By implementing Empirical Bayes (EB) Poisson-Gamma model,\neach function returns EB estimators and mean squared error\n(MSE) estimators for each area. The EB estimators without\ncovariates are obtained using the model proposed by Clayton &\nKaldor (1987) , the EB estimators with\ncovariates are obtained using the model proposed by Wakefield\n(2006) and the MSE\nestimators are obtained using Jackknife method by Jiang et. al.\n(2002) .", "License": "GPL-2", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.1.0", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-20 07:15:27 UTC", "User": "root" }, "Repository": "https://ikiii.r-universe.dev", "Date/Publication": "2020-04-28 08:50:03 UTC", "RemoteUrl": "https://github.com/cran/saeeb", "RemoteRef": "HEAD", "RemoteSha": "1e368f6cbb1e17afa20181dbd265add280be142a", "_user": "ikiii", "_type": "src", "_file": "saeeb_0.1.0.tar.gz", "_fileid": "https://r2.ropensci.org/7df751942189652d0324933881ae391b1d6a0fa041c642b7577a7ba6e6bffedf", "_filesize": 103366, "_sha256": "7df751942189652d0324933881ae391b1d6a0fa041c642b7577a7ba6e6bffedf", "_expires": "2027-01-28T07:19:15.000Z", 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