teda: An Implementation of the Typicality and Eccentricity Data
The typicality and eccentricity data analysis (TEDA) framework was
put forward by Angelov (2013) <doi:10.14313/JAMRIS_2-2014/16>. 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.
||David Ciar [cre, aut],
James Wright [aut]
||David Ciar <dciar86 at ceh.ac.uk>
||GPL (≥ 3)
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