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.

AuthorDavid Ciar [cre, aut], James Wright [aut]
Date of publication2017-01-22 11:25:24
MaintainerDavid Ciar <dciar86@ceh.ac.uk>
LicenseGPL (>= 3)
Version0.1.1

View on CRAN

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.