English(EN) Automated Residual Plot Assessment With the R Package autovi and the Shiny Application autovi.web

新的 R 包 autovi 自动化线性模型的残差图评估

作者 PulseAugur 编辑部 · [2 个来源] · 2026-06-23 07:24

研究人员开发了一个新的 R 包和配套的 Shiny 应用 autovi，用于自动化线性模型中残差图的评估。该工具采用计算机视觉模型来预测视觉信号强度 (VSS) 并提供支持数据，旨在减少手动评估的主观性和可扩展性问题。该系统旨在帮助分析师更有效、更一致地确定模型拟合度。 AI

影响自动化了一项常见的统计诊断任务，有望提高模型评估的效率和一致性。

排序理由该集群描述了一篇关于用于自动化统计分析的 R 包和 Shiny 应用的新研究论文。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

报道来源 [2]

arXiv stat.ML TIER_1 English(EN) · Weihao Li, Dianne Cook, Emi Tanaka, Susan VanderPlas, Klaus Ackermann · 2026-06-24 04:00

Automated Residual Plot Assessment With the R Package autovi and the Shiny Application autovi.web

arXiv:2606.24236v1 Announce Type: new Abstract: Visual assessment of residual plots is a common approach for diagnosing linear models, but it relies on manual evaluation, which does not scale well and can lead to inconsistent decisions across analysts. The lineup protocol, which …
arXiv stat.ML TIER_1 English(EN) · Klaus Ackermann · 2026-06-23 07:24

Automated Residual Plot Assessment With the R Package autovi and the Shiny Application autovi.web

Visual assessment of residual plots is a common approach for diagnosing linear models, but it relies on manual evaluation, which does not scale well and can lead to inconsistent decisions across analysts. The lineup protocol, which embeds the observed plot among null plots, can r…