# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "quickOutlier" in publications use:' type: software license: MIT title: 'quickOutlier: Detect and Treat Outliers in Data Mining' version: 0.1.5 doi: 10.32614/CRAN.package.quickOutlier abstract: 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. authors: - family-names: López Pérez given-names: Daniel email: dlopez350@icloud.com orcid: https://orcid.org/0009-0008-1695-9837 repository: https://daniellop1.r-universe.dev repository-code: https://github.com/daniellop1/quickOutlier commit: d4768ed4d6bcc1e76716c796c70ac2a5db0c6d55 url: https://github.com/daniellop1/quickOutlier date-released: '2025-12-19' contact: - family-names: López Pérez given-names: Daniel email: dlopez350@icloud.com orcid: https://orcid.org/0009-0008-1695-9837