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.