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 |
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: robsurvey_0.2.zip, r-release: robsurvey_0.2.zip, r-oldrel: robsurvey_0.2.zip |
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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