Package: saens 0.1.2
Ridson Al Farizal P
saens: Small Area Estimation with Cluster Information for Estimation of Non-Sampled Areas
Implementation of small area estimation (Fay-Herriot model) with EBLUP (Empirical Best Linear Unbiased Prediction) Approach for non-sampled area estimation by adding cluster information and assuming that there are similarities among particular areas. See also Rao & Molina (2015, ISBN:978-1-118-73578-7) and Anisa et al. (2013) <doi:10.9790/5728-10121519>.
Authors:
saens_0.1.2.tar.gz
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saens.pdf |saens.html✨
saens/json (API)
NEWS
| # Install 'saens' in R: |
| install.packages('saens', repos = c('https://alfrzlp.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/alfrzlp/sae-ns/issues
- mys - Mys: mean years of schooling people with disabilities in Papua Island, Indonesia.
Last updated 4 days agofrom:f77d8c4d5a. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 18 2024 |
| R-4.5-win | OK | Nov 18 2024 |
| R-4.5-linux | OK | Nov 18 2024 |
| R-4.4-win | OK | Nov 18 2024 |
| R-4.4-mac | OK | Nov 18 2024 |
| R-4.3-win | OK | Nov 18 2024 |
| R-4.3-mac | OK | Nov 18 2024 |
Exports:autoploteblupfheblupfh_clustereblupfh_ns
Dependencies:clicolorspacecpp11dplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Akaike's An Information Criterion. | AIC.eblupres BIC.eblupres |
| Create a complete ggplot appropriate to a particular data type | autoplot |
| Autoplot EBLUP results. | autoplot.eblupres |
| Extract Model Coefficients. | coef.eblupres |
| EBLUPs based on a Fay-Herriot Model. | eblupfh |
| EBLUPs based on a Fay-Herriot Model with Cluster Information. | eblupfh_cluster |
| Synthetic Estimator. | eblupfh_ns |
| Extract Log-Likelihood. | logLik.eblupres |
| mys: mean years of schooling people with disabilities in Papua Island, Indonesia. | mys |
| Summarizing EBLUP Model Fits. | summary.eblupres |