Package: robscale
Type: Package
Title: Faster Robustness: Accelerated Estimation of Location and Scale
Version: 0.1.5
Authors@R: c(person(given = "Dennis Alexis Valin", family = "Dittrich",
    role = c("aut", "cre", "cph"), email = "davd@economicscience.net",
    comment = c(ORCID = "0000-0002-4438-8276")))
Description: Robust estimation ensures statistical reliability in data
    contaminated by outliers. Yet, computational bottlenecks in existing 'R'
    implementations frequently obstruct both very small sample analysis and
    large-scale processing. 'robscale' resolves these inefficiencies by
    providing high-performance implementations of logistic M-estimators
    and the 'Qn' and 'Sn' scale estimators. By leveraging platform-specific Single
    Instruction, Multiple Data (SIMD) vectorization and Intel Threading
    Building Blocks (TBB) parallelism, the package delivers speedups of
    11–39x for small samples and up to 10x for massive datasets. These
    performance gains enable the integration of robust statistics into modern,
    time-critical computational workflows. Replaces 'revss' with an 'Rcpp'
    backend.
License: MIT + file LICENSE
URL: https://github.com/davdittrich/robscale,
        https://doi.org/10.5281/zenodo.18828607
BugReports: https://github.com/davdittrich/robscale/issues
Encoding: UTF-8
Imports: Rcpp (>= 1.0.0), RcppParallel (>= 5.0.0)
LinkingTo: Rcpp, RcppParallel, BH
Suggests: testthat (>= 3.0.0), revss, microbenchmark, robustbase
SystemRequirements: GNU make, TBB
Config/testthat/edition: 3
NeedsCompilation: yes
RoxygenNote: 7.3.3
Packaged: 2026-03-09 17:00:15 UTC; dd
Author: Dennis Alexis Valin Dittrich [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0002-4438-8276>)
Maintainer: Dennis Alexis Valin Dittrich <davd@economicscience.net>
Repository: CRAN
Date/Publication: 2026-03-09 21:20:02 UTC
