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.

Version: 0.5
Depends: R (≥ 3.5.0)
Imports: grDevices, stats, survey (≥ 3.35-1), KernSmooth
Suggests: hexbin, MASS, knitr, rmarkdown, wbacon
Published: 2022-10-07
Author: Beat Hulliger [aut], Tobias Schoch ORCID iD [aut, cre], Martin Sterchi [ctr, com]
Maintainer: Tobias Schoch <tobias.schoch at fhnw.ch>
BugReports: https://github.com/tobiasschoch/robsurvey/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/tobiasschoch/robsurvey
NeedsCompilation: yes
Citation: robsurvey citation info
Materials: NEWS
In views: OfficialStatistics, Robust
CRAN checks: robsurvey results

Documentation:

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

Downloads:

Package source: robsurvey_0.5.tar.gz
Windows binaries: r-devel: robsurvey_0.5.zip, r-release: robsurvey_0.5.zip, r-oldrel: robsurvey_0.5.zip
macOS binaries: r-release (arm64): robsurvey_0.5.tgz, r-oldrel (arm64): robsurvey_0.5.tgz, r-release (x86_64): robsurvey_0.5.tgz, r-oldrel (x86_64): robsurvey_0.5.tgz
Old sources: robsurvey archive

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