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>.

Getting started

Package details

AuthorFadheel Wisnu Utomo [aut, trl, cre], Ika Yuni Wulansari [aut, ths]
MaintainerFadheel Wisnu Utomo <221709671@stis.ac.id>
LicenseGPL-3
Version1.0.2
URL https://github.com/dheel/zipsae
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("zipsae")

Try the zipsae package in your browser

Any scripts or data that you put into this service are public.

zipsae documentation built on June 14, 2021, 5:08 p.m.