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teda: An Implementation of the Typicality and Eccentricity Data Analysis Framework
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.
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Package details |
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| Author | David Ciar [cre, aut], James Wright [aut] |
| Maintainer | David Ciar <dciar86@ceh.ac.uk> |
| License | GPL (>= 3) |
| Version | 0.1.1 |
| Package repository | View on CRAN |
| Installation |
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