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 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
Materials: NEWS
CRAN checks: robsurvey results

Documentation:

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

Downloads:

Package source: robsurvey_0.2.tar.gz
Windows binaries: r-devel: robsurvey_0.2.zip, r-devel-UCRT: robsurvey_0.2.zip, r-release: robsurvey_0.2.zip, r-oldrel: robsurvey_0.2.zip
macOS binaries: r-release (arm64): robsurvey_0.1.1.tgz, r-release (x86_64): robsurvey_0.2.tgz, r-oldrel: robsurvey_0.1.1.tgz
Old sources: robsurvey archive

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