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:
zipsae_1.0.2.tar.gz
zipsae_1.0.2.zip(r-4.5)zipsae_1.0.2.zip(r-4.4)zipsae_1.0.2.zip(r-4.3)
zipsae_1.0.2.tgz(r-4.4-any)zipsae_1.0.2.tgz(r-4.3-any)
zipsae_1.0.2.tar.gz(r-4.5-noble)zipsae_1.0.2.tar.gz(r-4.4-noble)
zipsae_1.0.2.tgz(r-4.4-emscripten)zipsae_1.0.2.tgz(r-4.3-emscripten)
zipsae.pdf |zipsae.html✨
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
- dataSAEZIP - Sample Data for Small Area Estimation with Zero-Inflated Poisson model
Last updated 3 years agofrom:48ca17b928. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 01 2024 |
| R-4.5-win | OK | Nov 01 2024 |
| R-4.5-linux | OK | Nov 01 2024 |
| R-4.4-win | OK | Nov 01 2024 |
| R-4.4-mac | OK | Nov 01 2024 |
| R-4.3-win | OK | Nov 01 2024 |
| R-4.3-mac | OK | Nov 01 2024 |
Exports:zipsae
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Sample Data for Small Area Estimation with Zero-Inflated Poisson model | dataSAEZIP |
| EBLUPs under Zero-Inflated Poisson Model | zipsae |