Package: robustrcp 0.1.0
robustrcp: Outlier-Robust Ratio-cum-Product Estimators of Finite Population Mean
Implements robust ratio-cum-product estimators using auxiliary medians for estimating the population mean under simple random sampling without replacement (SRSWOR). Provides analytical optimal tuning parameters, bias, Mean Squared Error (MSE), and Percent Relative Efficiency (PRE) evaluations.
Authors:
robustrcp_0.1.0.tar.gz
robustrcp_0.1.0.zip(r-4.7-any)robustrcp_0.1.0.zip(r-4.6-any)robustrcp_0.1.0.zip(r-4.5-any)
robustrcp_0.1.0.tgz(r-4.6-any)robustrcp_0.1.0.tgz(r-4.5-any)
robustrcp_0.1.0.tar.gz(r-4.7-any)robustrcp_0.1.0.tar.gz(r-4.6-any)
robustrcp_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
robustrcp/json (API)
| # Install 'robustrcp' in R: |
| install.packages('robustrcp', repos = c('https://obulezi-oj.r-universe.dev', 'https://cloud.r-project.org')) |
- crop_data - Contaminated Sample Dataset for Robust Estimation
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:0f314cc3a0. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 85 | ||
| source / vignettes | OK | 137 | ||
| linux-release | OK | 91 | ||
| macos-release | OK | 96 | ||
| macos-oldrel | OK | 72 | ||
| windows-devel | OK | 49 | ||
| windows-release | OK | 54 | ||
| windows-oldrel | OK | 48 | ||
| wasm-release | OK | 84 |
Exports:compare_estimatorsrobust_rcp
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compare Proposed Robust Estimator against Baselines | compare_estimators |
| Contaminated Sample Dataset for Robust Estimation | crop_data |
| Robust Ratio-cum-Product Estimator of Population Mean | robust_rcp |