Robust Survey Statistics Estimation


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Documentation for package ‘robsurvey’ version 0.1.1

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robsurvey-package robsurvey: Robust survey statistics.
huberwgt Huber M-estimators of the weighted mean and weighted total
rht_control Control function for M-estimation (tuning parameters etc.)
robsurvey robsurvey: Robust survey statistics.
robweights Extraction of robustness weights (M-estimators)
svymean_huber Huber M-estimators of the weighted mean and weighted total
svymean_trimmed Weighted trimmed mean and trimmed total
svymean_winsorized Weighted winsorized mean and trimmed total
svytotal_huber Huber M-estimators of the weighted mean and weighted total
svytotal_trimmed Weighted trimmed mean and trimmed total
svytotal_winsorized Weighted winsorized mean and trimmed total
trimwgt Weighted trimmed mean and trimmed total
weighted_line Weighted robust line fitting
weighted_mad Weighted median absolute deviation from the median (MAD)
weighted_mean Weighted total and mean (Horvitz-Thompson and Hajek estimators)
weighted_mean_huber Huber M-estimators of the weighted mean and weighted total
weighted_mean_trimmed Weighted trimmed mean and trimmed total
weighted_mean_winsorized Weighted winsorized mean and trimmed total
weighted_median Weighted median with weighted interpolation
weighted_median_line Robust simple linear regression based on medians
weighted_median_ratio Weighted robust ratio based on median
weighted_quantile Weighted lower sample quantiles
weighted_total Weighted total and mean (Horvitz-Thompson and Hajek estimators)
weighted_total_huber Huber M-estimators of the weighted mean and weighted total
weighted_total_trimmed Weighted trimmed mean and trimmed total
weighted_total_winsorized Weighted winsorized mean and trimmed total
wgtmeantotal Weighted total and mean (Horvitz-Thompson and Hajek estimators)
winswgt Weighted winsorized mean and trimmed total