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robscale  

Fast Robust Estimation in Very Small Samples
View on CRAN: Click here


Download and install robscale package within the R console
Install from CRAN:
install.packages("robscale")

Install from Github:
library("remotes")
install_github("cran/robscale")

Install by package version:
library("remotes")
install_version("robscale", "0.1.1")



Attach the package and use:
library("robscale")
Maintained by
Dennis Alexis Valin Dittrich
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-06
Latest Update: 2026-03-06
Description:
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.
How to cite:
Dennis Alexis Valin Dittrich (2026). robscale: Fast Robust Estimation in Very Small Samples. R package version 0.1.1, https://cran.r-project.org/web/packages/robscale. Accessed 15 Mar. 2026.
Previous versions and publish date:
0.1.1 (2026-03-06 14:30)
Other packages that cited robscale R package
View robscale citation profile
Other R packages that robscale depends, imports, suggests or enhances
Complete documentation for robscale
Functions, R codes and Examples using the robscale R package
Full robscale package functions and examples
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