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teda  

An Implementation of the Typicality and Eccentricity Data Analysis Framework
View on CRAN: Click here


Download and install teda package within the R console
Install from CRAN:
install.packages("teda")

Install from Github:
library("remotes")
install_github("cran/teda")

Install by package version:
library("remotes")
install_version("teda", "0.1.1")



Attach the package and use:
library("teda")
Maintained by
David Ciar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-10-27
Latest Update: 2017-01-22
Description:
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.
How to cite:
David Ciar (2016). teda: An Implementation of the Typicality and Eccentricity Data Analysis Framework. R package version 0.1.1, https://cran.r-project.org/web/packages/teda. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.1.0 (2016-10-27 17:40), 0.1.1 (2017-01-22 11:25)
Other packages that cited teda R package
View teda citation profile
Other R packages that teda depends, imports, suggests or enhances
Complete documentation for teda
Functions, R codes and Examples using the teda R package
Some associated functions: plot.tedab . print.tedab . print.tedar . summary.tedab . summary.tedar . teda . teda_b . teda_r . 
Some associated R codes: teda-b-s3-plot.R . teda-b-s3-print.R . teda-b-s3-summary.R . teda-batch.R . teda-r-s3-print.R . teda-r-s3-summary.R . teda-recursive.R . teda.R .  Full teda package functions and examples
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