NERC-CEH/teda-r: 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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Maintainer | David Ciar <dciar86@ceh.ac.uk> |
| License | GPL (>=3) |
| Version | 0.1.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
