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.


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install.packages("teda")

0.1.1 by David Ciar, 2 years ago


Browse source code at https://github.com/cran/teda


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


Documentation:   PDF Manual  


GPL (>= 3) license


Imports graphics, stats

Suggests testthat


See at CRAN