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.
|Author||David Ciar [cre, aut], James Wright [aut]|
|Maintainer||David Ciar <email@example.com>|
|License||GPL (>= 3)|
|Package repository||View on CRAN|
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