An Implementation of the Typicality and Eccentricity Data Analysis Framework

The typicality and eccentricity data analysis (TEDA) framework was put forward by Angelov (2013) . It has been further developed into multiple different techniques since, and provides a non-parametric way of determining how similar an observation, from a process that is not purely random, is to other observations generated by the process. This package provides code to use the batch and recursive TEDA methods that have been published.


Reference manual

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0.1.1 by David Ciar, 2 years ago

Browse source code at

Authors: David Ciar [cre, aut] , James Wright [aut]

Documentation:   PDF Manual  

GPL (>= 3) license

Imports graphics, stats

Suggests testthat

See at CRAN