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quickOutlier

Detect and Treat Outliers in Data Mining

v0.1.5 · Feb 13, 2026 · MIT + file LICENSE

Description

Implements a suite of tools for outlier detection and treatment in data mining. It includes univariate methods (Z-score, Interquartile Range), multivariate detection using Mahalanobis distance, and density-based detection (Local Outlier Factor) via the 'dbscan' package. It also provides functions for visualization using 'ggplot2' and data cleaning via Winsorization.

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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

Dependency Network

Dependencies Reverse dependencies dbscan ggplot2 isotree plotly quickOutlier

Version History

new 0.1.5 Mar 9, 2026