robscale: Fast Robust Estimation in Very Small Samples

High-performance C++ implementation (via 'Rcpp') of the robust location and scale M-estimators described in Rousseeuw & Verboven (2002) <doi:10.1016/S0167-9473(02)00078-6> for very small samples. Provides numerically identical results to the 'revss' package with significantly improved performance through sorting networks and compiled iteration loops.

Version: 0.1.1
Imports: Rcpp (≥ 1.0.0)
LinkingTo: Rcpp
Suggests: tinytest, revss, microbenchmark
Published: 2026-03-06
DOI: 10.32614/CRAN.package.robscale (may not be active yet)
Author: Dennis Alexis Valin Dittrich ORCID iD [aut, cre, cph]
Maintainer: Dennis Alexis Valin Dittrich <davd at economicscience.net>
BugReports: https://github.com/davdittrich/robscale/issues
License: MIT + file LICENSE
URL: https://github.com/davdittrich/robscale, https://doi.org/10.5281/zenodo.18828607
NeedsCompilation: yes
Citation: robscale citation info
Materials: NEWS
CRAN checks: robscale results

Documentation:

Reference manual: robscale.html , robscale.pdf

Downloads:

Package source: robscale_0.1.1.tar.gz
Windows binaries: r-devel: robscale_0.1.1.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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