Package: saeeb
Type: Package
Title: Small Area Estimation for Count Data
Version: 0.1.0
Depends: R (>= 2.10)
Imports: COUNT (>= 1.3.4), MASS, stats
Author: Rizki Ananda Fauziah, Ika Yuni Wulansari
Maintainer: Rizki Ananda Fauziah <rizkiananda133@gmail.com>
Description: 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>.
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-04-22 20:22:06 UTC; iki
Repository: CRAN
Date/Publication: 2020-04-28 09:50:03 UTC
Built: R 4.6.0; ; 2026-04-26 01:52:09 UTC; unix
