lookout-package {lookout}R Documentation

lookout: Leave One Out Kernel Density Estimates for Outlier Detection

Description

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Outlier detection using leave-one-out kernel density estimates and extreme value theory. The bandwidth for kernel density estimates is computed using persistent homology, a technique in topological data analysis. Using peak-over-threshold method, a generalized Pareto distribution is fitted to the log of leave-one-out kde values to identify outliers.

Author(s)

Maintainer: Sevvandi Kandanaarachchi sevvandik@gmail.com (ORCID)

Authors:

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See Also

Useful links:


[Package lookout version 0.1.4 Index]