robsurvey - Robust Survey Statistics Estimation
Robust (outlier-resistant) estimators of finite population characteristics like of means, totals, ratios, regression, etc. Available methods are M- and GM-estimators of regression, weight reduction, trimming, and winsorization. The package extends the 'survey' <https://CRAN.R-project.org/package=survey> package.
Last updated 1 months ago
6.35 score 8 stars 5 scripts 293 downloadsrsae - 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.
Last updated 3 months ago
4.30 score 1 stars 8 scripts 904 downloadswbacon - Weighted BACON Algorithms
The BACON algorithms are methods for multivariate outlier nomination (detection) and robust linear regression by Billor, Hadi, and Velleman (2000) <doi:10.1016/S0167-9473(99)00101-2>. The extension to weighted problems is due to Beguin and Hulliger (2008) <https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X200800110616>; see also <doi:10.21105/joss.03238>.
Last updated 3 months ago
outlieroutlier-detectionrobust-regressionstatistics
4.30 score 2 stars 8 scripts 250 downloads