Provides small area estimation for count data type and gives option whether to use covariates in the estimation or not. By implementing Empirical Bayes (EB) Poisson-Gamma model, each function returns EB estimators and mean squared error (MSE) estimators for each area. The EB estimators without covariates are obtained using the model proposed by Clayton & Kaldor (1987) <doi:10.2307/2532003>, the EB estimators with covariates are obtained using the model proposed by Wakefield (2006) <doi:10.1093/biostatistics/kxl008> and the MSE estimators are obtained using Jackknife method by Jiang et. al. (2002) <doi:10.1214/aos/1043351257>.
Version: 0.1.0 Depends: R (≥ 2.10) Imports: COUNT (≥ 1.3.4), MASS, stats Published: 2020-04-28 DOI: 10.32614/CRAN.package.saeeb Author: Rizki Ananda Fauziah, Ika Yuni Wulansari Maintainer: Rizki Ananda Fauziah <rizkiananda133 at gmail.com> License: GPL-2 NeedsCompilation: no CRAN checks: saeeb results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=saeeb to link to this page.
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