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teda (version 0.1.1)

An Implementation of the Typicality and Eccentricity Data Analysis Framework

Description

The typicality and eccentricity data analysis (TEDA) framework was put forward by Angelov (2013) . 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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Version

Install

install.packages('teda')

Monthly Downloads

130

Version

0.1.1

License

GPL (>= 3)

Maintainer

David Ciar

Last Published

January 22nd, 2017

Functions in teda (0.1.1)

teda

teda: An implementation of the Typicality and Eccentricity Data Analysis Framework.
teda_r

Create teda recursive object from observation (+ state)
summary.tedab

Summarise the tedab object
print.tedar

Print the tedar object
print.tedab

Print the tedab object
teda_b

Create teda batch object from a vector
summary.tedar

Summarize the tedar object
plot.tedab

Plot the tedab object