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' <> package.

Version: 0.6
Depends: R (≥ 3.5.0)
Imports: grDevices, KernSmooth, stats, survey (≥ 3.35-1), utils
Suggests: hexbin, knitr, MASS, rmarkdown, wbacon
Published: 2024-01-14
DOI: 10.32614/CRAN.package.robsurvey
Author: Beat Hulliger ORCID iD [aut], Tobias Schoch ORCID iD [aut, cre], Martin Sterchi [ctr, com], R-core [ctb, cph] (for zeroin2.c)
Maintainer: Tobias Schoch <tobias.schoch at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: robsurvey citation info
Materials: NEWS
In views: OfficialStatistics, Robust
CRAN checks: robsurvey results


Reference manual: robsurvey.pdf
Vignettes: Basic Robust Estimators
Robust Generalized Regression (GREG) and Ratio Estimation/ Prediction
Robust Survey Regression Estimator
Robust Horvitz-Thompson Estimator


Package source: robsurvey_0.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): robsurvey_0.6.tgz, r-oldrel (arm64): robsurvey_0.6.tgz, r-release (x86_64): robsurvey_0.6.tgz, r-oldrel (x86_64): robsurvey_0.6.tgz
Old sources: robsurvey archive


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