saeeb: Small Area Estimation for Count Data

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:

Reference manual:

saeeb.pdf

Downloads:

Package source:	saeeb_0.1.0.tar.gz
Windows binaries:	r-devel: saeeb_0.1.0.zip, r-release: saeeb_0.1.0.zip, r-oldrel: saeeb_0.1.0.zip
macOS binaries:	r-release (arm64): saeeb_0.1.0.tgz, r-oldrel (arm64): saeeb_0.1.0.tgz, r-release (x86_64): saeeb_0.1.0.tgz, r-oldrel (x86_64): saeeb_0.1.0.tgz

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