zipsae: Small Area Estimation with Zero-Inflated Model

This function produces empirical best linier unbiased predictions (EBLUPs) for Zero-Inflated data and its Relative Standard Error. Small Area Estimation with Zero-Inflated Model (SAE-ZIP) is a model developed for Zero-Inflated data that can lead us to overdispersion situation. To handle this kind of situation, this model is created. The model in this package is based on Small Area Estimation with Zero-Inflated Poisson model proposed by Dian Christien Arisona (2018)<https://repository.ipb.ac.id/handle/123456789/92308>. For the data sample itself, we use combination method between Roberto Benavent and Domingo Morales (2015)<doi:10.1016/j.csda.2015.07.013> and Sabine Krieg, Harm Jan Boonstra and Marc Smeets (2016)<doi:10.1515/jos-2016-0051>.

Version: 1.0.2
Depends: R (≥ 2.10)
Imports: stats
Published: 2021-06-14
Author: Fadheel Wisnu Utomo [aut, trl, cre], Ika Yuni Wulansari [aut, ths]
Maintainer: Fadheel Wisnu Utomo <221709671 at stis.ac.id>
BugReports: https://github.com/dheel/zipsae/issues
License: GPL-3
URL: https://github.com/dheel/zipsae
NeedsCompilation: no
Materials: README
CRAN checks: zipsae results

Downloads:

Reference manual: zipsae.pdf
Package source: zipsae_1.0.2.tar.gz
Windows binaries: r-devel: zipsae_1.0.2.zip, r-release: zipsae_1.0.2.zip, r-oldrel: zipsae_1.0.2.zip
macOS binaries: r-release (arm64): zipsae_1.0.2.tgz, r-release (x86_64): zipsae_1.0.2.tgz, r-oldrel: zipsae_1.0.2.tgz
Old sources: zipsae archive

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