Package: robscale Type: Package Title: Accelerated Estimation of Robust Location and Scale Version: 0.5.4 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: Estimates robust location and scale parameters using platform-specific Single Instruction, Multiple Data (SIMD) vectorization and Intel Threading Building Blocks (TBB) for parallel processing. Implements a novel variance-weighted ensemble estimator that adaptively combines all available statistics. Methods include logistic M-estimators, the estimators of Rousseeuw and Croux (1993), the Gini mean difference, the scaled Median Absolute Deviation (MAD), the scaled Interquartile Range (IQR), and unbiased standard deviations. Achieves substantial speedups over existing implementations through an 'Rcpp' backend with fused single-buffer algorithms that halve memory traffic for MAD and M-scale estimation, and a unified dispatcher that automatically selects the optimal estimator based on sample size. 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: collapse, devtools, GiniDistance, Hmisc, knitr, revss, rmarkdown, robustbase, testthat (>= 3.0.0) VignetteBuilder: knitr SystemRequirements: GNU make Config/testthat/edition: 3 NeedsCompilation: yes RoxygenNote: 7.3.3 Repository: https://davdittrich.r-universe.dev Date/Publication: 2026-05-04 16:08:00 UTC RemoteUrl: https://github.com/davdittrich/robscale RemoteRef: HEAD RemoteSha: 3d10e75989785cb1a5bd845aebf9e11cade2f9de Packaged: 2026-10-11 15:21:40 UTC; root Author: Dennis Alexis Valin Dittrich [aut, cre, cph] (ORCID: ) Maintainer: Dennis Alexis Valin Dittrich Depends: R (>= 3.5.0)