Package: rsae 0.3
rsae: Robust Small Area Estimation
Empirical best linear unbiased prediction (EBLUP) and robust prediction of the area-level means under the basic unit-level model. The model can be fitted by maximum likelihood or a (robust) M-estimator. Mean square prediction error is computed by a parametric bootstrap.
Authors:
rsae_0.3.tar.gz
rsae_0.3.zip(r-4.7)rsae_0.3.zip(r-4.6)rsae_0.3.zip(r-4.5)
rsae_0.3.tgz(r-4.6-x86_64)rsae_0.3.tgz(r-4.6-arm64)rsae_0.3.tgz(r-4.5-x86_64)rsae_0.3.tgz(r-4.5-arm64)
rsae_0.3.tar.gz(r-4.7-arm64)rsae_0.3.tar.gz(r-4.7-x86_64)rsae_0.3.tar.gz(r-4.6-arm64)rsae_0.3.tar.gz(r-4.6-x86_64)
rsae_0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
rsae/json (API)
| # Install 'rsae' in R: |
| install.packages('rsae', repos = c('https://tobiasschoch.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tobiasschoch/rsae/issues
- landsat - LANDSAT Data: Prediction of County Crop Areas Using Survey and Satellite Data
- landsat_means - Means of the LANDSAT Data for Corn and Soybeans
Last updated from:882549c7b2. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 115 | ||
| linux-devel-x86_64 | OK | 122 | ||
| source / vignettes | OK | 133 | ||
| linux-release-arm64 | OK | 102 | ||
| linux-release-x86_64 | OK | 108 | ||
| macos-release-arm64 | OK | 92 | ||
| macos-release-x86_64 | OK | 244 | ||
| macos-oldrel-arm64 | OK | 147 | ||
| macos-oldrel-x86_64 | OK | 168 | ||
| windows-devel | OK | 93 | ||
| windows-release | OK | 109 | ||
| windows-oldrel | OK | 80 | ||
| wasm-release | OK | 90 |
Exports:convergencefitsaemodelfitsaemodel.controlmakedatarobpredictsaemodel
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Robust Small Area Estimation | rsae-package rsae |
| Fitting SAE Models | coef.fit_model_b convergence fitsaemodel print.fit_model_b print.summary_fit_model_b summary.fit_model_b |
| Tuning Parameters of 'fitsaemodel' | fitsaemodel.control |
| LANDSAT Data: Prediction of County Crop Areas Using Survey and Satellite Data | landsat |
| Means of the LANDSAT Data for Corn and Soybeans | landsat_means |
| Synthetic Data Generation for the Basic Unit-Level SAE Model | makedata |
| Robust Prediction of Random Effects, Fixed Effects, and Area-Specific Means | as.matrix.pred_model_b head.pred_model_b plot.pred_model_b print.pred_model_b residuals.pred_model_b robpredict tail.pred_model_b |
| Setting Up a SAE Model | as.matrix.saemodel print.saemodel saemodel summary.saemodel |
