jivelez/ueda: Automatic Detection of Discordant Outliers via Ueda's method
Tools for detecting and removing outliers from a numeric vector using Ueda's method, which is based on the density of a standard Normal distribution and the Akaike's Information Criterion (AIC).
Getting started
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Package details |
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| Maintainer | Jorge I. Vélez <jvelezv@uninorte.edu.co> |
| License | GPL-3 |
| Version | 0.1.0 |
| URL | https://jivelez.github.io/ueda |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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