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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.

Type Size Name Uploaded Downloads Labels
conda 49.5 kB | noarch/r-teda-0.1.1-r43h142f84f_0.tar.bz2  1 year and 1 month ago 20 main
conda 48.9 kB | noarch/r-teda-0.1.1-r42h142f84f_0.tar.bz2  2 years and 7 months ago 52 main
conda 48.8 kB | noarch/r-teda-0.1.1-r36h6115d3f_0.tar.bz2  4 years and 11 months ago 122 main

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