Package: zipsae 1.0.2

Fadheel Wisnu Utomo

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>.

Authors:Fadheel Wisnu Utomo [aut, trl, cre], Ika Yuni Wulansari [aut, ths]

zipsae_1.0.2.tar.gz
zipsae_1.0.2.zip(r-4.7-any)zipsae_1.0.2.zip(r-4.6-any)zipsae_1.0.2.zip(r-4.5-any)
zipsae_1.0.2.tgz(r-4.6-any)zipsae_1.0.2.tgz(r-4.5-any)
zipsae_1.0.2.tar.gz(r-4.7-any)zipsae_1.0.2.tar.gz(r-4.6-any)
zipsae_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
zipsae/json (API)

# Install 'zipsae' in R:
install.packages('zipsae', repos = c('https://dheel.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/dheel/zipsae/issues

Datasets:
  • dataSAEZIP - Sample Data for Small Area Estimation with Zero-Inflated Poisson model

On CRAN:

Conda:

2.70 score 1 stars 1 scripts 254 downloads 1 exports 0 dependencies

Last updated from:0968477422. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK86
source / vignettesOK155
linux-releaseOK77
macos-releaseOK170
macos-oldrelOK172
windows-develOK49
windows-releaseOK56
windows-oldrelOK48
wasm-releaseOK67

Exports:zipsae

Dependencies: