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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 |
| 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 |
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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.