robsurvey: Robust Survey Statistics Estimation

Functions to compute robust (outlier-resistant) estimates of finite population characteristics. The package supports the computations of robust means, totals, ratios, etc. Available methods are regression M- and GM-estimators, trimming, and winsorization. The package robsurvey complements the survey.

Version: 0.2
Depends: R (≥ 3.5.0)
Imports: grDevices, stats, survey (≥ 3.35-1), KernSmooth
Suggests: MASS, knitr, rmarkdown, wbacon
Published: 2022-01-17
Author: Beat Hulliger [aut], Tobias Schoch [aut, cre], Martin Sterchi [ctr, com]
Maintainer: Tobias Schoch <tobias.schoch at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: NEWS
In views: OfficialStatistics, Robust
CRAN checks: robsurvey results


Reference manual: robsurvey.pdf
Vignettes: Basic Robust Estimators
Robust Survey Regression Estimator
Robust Horvitz-Thompson Estimator


Package source: robsurvey_0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): robsurvey_0.2.tgz, r-oldrel (arm64): robsurvey_0.2.tgz, r-release (x86_64): robsurvey_0.2.tgz, r-oldrel (x86_64): robsurvey_0.2.tgz
Old sources: robsurvey archive


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