Robust Survey Statistics Estimation
Utility Functions for Objects of Class svyreg_rob
Utility Functions for Objects of Class svystat_rob
Weighted Huber Proposal 2 Estimator
Minimum Estimated Risk (MER) M-Estimator
Package Overview
Deprecated Functions in Package 'robsurvey'
Internal Function for the Regression GM-Estimator
Sampling with probability proportional to size (pps without replacemen...
Weighted Five-Number Summary of a Variable
Dalen's Estimators of the Population Mean and Total
Robust Ratio Predictor of the Mean and Total
Robust Generalized Regression Predictor (GREG) of the Mean and Total
Weighted Trimmed Mean and Total
Weighted Winsorized Mean and Total
Weighted Huber and Tukey Mean and Total (M-Estimator) -- Robust Horvit...
Robust Survey Ratio M-Estimator
Deprecated Huber Robust Survey Regression M-Estimator
Huber Robust Survey Regression M- and GM-Estimator
Deprecated Tukey Biweight Robust Survey Regression M-Estimator
Tukey Biweight Robust Survey Regression M- and GM-Estimator
Survey Regression Estimator -- Weighted Least Squares
Weighted Interquartile Range (IQR)
Weighted Robust Line Fitting
Weighted Median Absolute Deviation from the Median (MAD)
Dalen Estimators of the Mean and Total
Weighted Trimmed Mean and Total (bare-bone functions)
Weighted Winsorized Mean and Total (bare-bone functions)
Weighted Total and Mean (Horvitz-Thompson and Hajek Estimators)
Robust Simple Linear Regression Based on Medians
Weighted Robust Ratio Estimator Based on Median
Weighted Median
Weighted Quantile
Weighted Huber and Tukey Mean and Total (bare-bone functions)
Weight Functions (for the M- and GM-Estimators)
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.
Useful links