The revss Package for R Receives Major Update to Version 3.1.0 This is a big one! The revss package for R, which provides robust estimation for small samples, received a major, breaking update. The entire calculation engine was rewritten, new functionality added, and massive Monte Carlo analyses were run to calculate bias reduction factors. It Read the full article... The post Major Update for revss Package for R – v3.1.0 appeared first on Strange Attractors.

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The revss R package for robust estimation in small samples has been completely overhauled in version 3.1.0. The entire calculation engine was rewritten from R to Fortran (with C wrappers) to handle massive Monte Carlo simulations — roughly 660 million runs — needed to compute accurate four-digit bias reduction factors for six scale metrics. New bias-adjusted functions were added, the API was broken, and LLMs (ChatGPT, Claude, Grok) were used as optimization aids during the rewrite. Due to a last-minute mistake, the flawed 3.0.0 is currently on CRAN while 3.1.0 awaits acceptance; the correct version is available on GitHub in the meantime.

Major Update for revss Package for R – v3.1.0

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