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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.
Version: | 0.1.1 |
Imports: | graphics, stats |
Suggests: | testthat |
Published: | 2017-01-22 |
DOI: | 10.32614/CRAN.package.teda |
Author: | David Ciar [cre, aut], James Wright [aut] |
Maintainer: | David Ciar <dciar86 at ceh.ac.uk> |
License: | GPL (≥ 3) |
NeedsCompilation: | no |
CRAN checks: | teda results |
Reference manual: | teda.pdf |
Package source: | teda_0.1.1.tar.gz |
Windows binaries: | r-devel: teda_0.1.1.zip, r-release: teda_0.1.1.zip, r-oldrel: teda_0.1.1.zip |
macOS binaries: | r-release (arm64): teda_0.1.1.tgz, r-oldrel (arm64): teda_0.1.1.tgz, r-release (x86_64): teda_0.1.1.tgz, r-oldrel (x86_64): teda_0.1.1.tgz |
Old sources: | teda archive |
Please use the canonical form https://CRAN.R-project.org/package=teda to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.