STEP 1 Load package and load the data | STEP 2 Data Exploration | STEPS 3 Fitting Twofold HB Beta Model | STEP 4 Check Convergence via Plot MCMC | STEP 5 Extract Result for Area | Area Mean Estimation | Area Random Effect | Calculate Area Relative Standard Error (RSE) or CV and Mean Squared Error (MSE) | STEP 6 Extract Result for Subarea | Subarea Mean Estimation | Subarea Random Effect | Calculate Subarea Relative Standard Error (RSE) or CV and Mean Squared Error (MSE) | Extract Coefficient Estimation $\beta$ | Extract Area Random Effect Variance $\sigma_u^2$ and Subarea Random Effect Variance $\sigma_v^2$ | STEP 7 Visualize The Result
This package is considered a duplicate. The official version of this package is found at:https://nasyazahira.r-universe.dev/saeHB.TF.beta
Package: saeHB.TF.beta 0.2.0
Nasya Zahira Putri
saeHB.TF.beta: SAE using HB Twofold Subarea Model under Beta Distribution
Estimates area and subarea level proportions using the Small Area Estimation (SAE) Twofold Subarea Model with a hierarchical Bayesian (HB) approach under Beta distribution. A number of simulated datasets generated for illustration purposes are also included. The 'rstan' package is employed to estimate parameters via the Hamiltonian Monte Carlo and No U-Turn Sampler algorithm. The model-based estimators include the HB mean, the variation of the mean, and quantiles. For references, see Rao and Molina (2015) <doi:10.1002/9781118735855>, Torabi and Rao (2014) <doi:10.1016/j.jmva.2014.02.001>, Leyla Mohadjer et al.(2007) <http://www.asasrms.org/Proceedings/y2007/Files/JSM2007-000559.pdf>, Erciulescu et al.(2019) <doi:10.1111/rssa.12390>, and Yudasena (2024).
Authors:
saeHB.TF.beta_0.2.0.tar.gz
saeHB.TF.beta_0.2.0.zip(r-4.7-x86_64)saeHB.TF.beta_0.2.0.zip(r-4.7-arm64)saeHB.TF.beta_0.2.0.zip(r-4.6-x86_64)saeHB.TF.beta_0.2.0.zip(r-4.6-arm64)
saeHB.TF.beta_0.2.0.tar.gz(r-4.7-arm64)saeHB.TF.beta_0.2.0.tar.gz(r-4.7-x86_64)saeHB.TF.beta_0.2.0.tar.gz(r-4.6-arm64)saeHB.TF.beta_0.2.0.tar.gz(r-4.6-x86_64)
saeHB.TF.beta_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
saeHB.TF.beta/json (API)
| # Install 'saeHB.TF.beta' in R: |
| install.packages('saeHB.TF.beta', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/nasyazahira/saehb.tf.beta/issues
Datasets:
- dataBeta - Simulated dataset Under Two Fold Subarea level model with Beta distribution.
- dataBetaNS - Simulated dataset Under Two Fold Subarea level model with Beta distribution and Non-Sampled subarea.
Last updated from:e6078018f8. Checks:10 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 253 | ||
| linux-devel-x86_64 | OK | 301 | ||
| source / vignettes | OK | 501 | ||
| linux-release-arm64 | OK | 233 | ||
| linux-release-x86_64 | OK | 314 | ||
| windows-devel-arm64 | OK | 346 | ||
| windows-devel-x86_64 | OK | 352 | ||
| windows-release-arm64 | OK | 354 | ||
| windows-release-x86_64 | OK | 326 | ||
| wasm-release | OK | 200 |
Dependencies:abindbackportsbayesplotBHcallrcheckmateclicpp11descdistributionaldplyrfarvergenericsggdistggplot2ggridgesgluegridExtragtableinlineisobandlabelinglifecycleloomagrittrmatrixStatsnumDerivotelpillarpkgbuildpkgconfigplyrposteriorprocessxpspurrrquadprogQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelreshape2rlangrstanrstantoolsS7scalesStanHeadersstringistringrtensorAtibbletidyrtidyselectutf8vctrsviridisLitewithr
