{ "_id": "6a1ade0b1d7bb097a09eb736", "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\",\nrole = c(\"aut\", \"cre\", \"cph\"), email = \"davd@economicscience.net\",\ncomment = c(ORCID = \"0000-0002-4438-8276\")))", "Description": "Estimates robust location and scale parameters using\nplatform-specific Single Instruction, Multiple Data (SIMD)\nvectorization and Intel Threading Building Blocks (TBB) for\nparallel processing. Implements a novel variance-weighted\nensemble estimator that adaptively combines all available\nstatistics. Methods include logistic M-estimators, the\nestimators of Rousseeuw and Croux (1993), the Gini mean\ndifference, the scaled Median Absolute Deviation (MAD), the\nscaled Interquartile Range (IQR), and unbiased standard\ndeviations. Achieves substantial speedups over existing\nimplementations through an 'Rcpp' backend with fused\nsingle-buffer algorithms that halve memory traffic for MAD and\nM-scale estimation, and a unified dispatcher that automatically\nselects the optimal estimator based on sample size.", "License": "MIT + file LICENSE", "URL": "https://github.com/davdittrich/robscale,\nhttps://doi.org/10.5281/zenodo.18828607", "BugReports": "https://github.com/davdittrich/robscale/issues", "Encoding": "UTF-8", "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": { "Date": "2026-05-30 09:13:53 UTC", "User": "root" }, "Author": "Dennis Alexis Valin Dittrich [aut, cre, cph] 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