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: 2026-06-22 09:11:59 UTC; 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