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]|
|Date of publication||2017-01-22 11:25:24|
|Maintainer||David Ciar <firstname.lastname@example.org>|
|License||GPL (>= 3)|
plot.tedab: Plot the tedab object
print.tedab: Print the tedab object
print.tedar: Print the tedar object
summary.tedab: Summarise the tedab object
summary.tedar: Summarize the tedar object
teda: teda: An implementation of the Typicality and Eccentricity...
teda_b: Create teda batch object from a vector
teda_r: Create teda recursive object from observation (+ state)
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