robsurvey: Robust Survey Statistics Estimation

Multiple functions to compute robust survey statistics. The package supports the computations of robust means, totals, and ratios. Available methods are Huber M-estimators, trimming, and winsorization. The package 'robsurvey' complements the 'survey' package. The package additionally includes a weighted version of the resistant line function of base R (line()), as well as two median based simple regression estimators. The methods are described in Hulliger (1995) <https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X199500114407/>.

Version: 0.1.1
Depends: R (≥ 3.5.0)
Imports: grDevices, stats, survey (≥ 3.35-1)
Suggests: knitr, rmarkdown, testthat
Published: 2019-06-11
Author: Beat Hulliger [aut], Tobias Schoch [aut], Martin Sterchi [cre]
Maintainer: Martin Sterchi <martin.sterchi at fhnw.ch>
BugReports: https://github.com/martinSter/robsurvey/issues
License: MIT + file LICENSE
URL: https://github.com/martinSter/robsurvey
NeedsCompilation: yes
Citation: robsurvey citation info
Materials: README NEWS
CRAN checks: robsurvey results

Downloads:

Reference manual: robsurvey.pdf
Vignettes: Introduction to robsurvey
Package source: robsurvey_0.1.1.tar.gz
Windows binaries: r-devel: robsurvey_0.1.1.zip, r-devel-gcc8: robsurvey_0.1.1.zip, r-release: robsurvey_0.1.1.zip, r-oldrel: robsurvey_0.1.1.zip
OS X binaries: r-release: robsurvey_0.1.1.tgz, r-oldrel: robsurvey_0.1.1.tgz
Old sources: robsurvey archive

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