Package: teda 0.1.1
David Ciar
teda: 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.
Authors:
teda_0.1.1.tar.gz
teda_0.1.1.tar.gz(r-4.5-noble)teda_0.1.1.tar.gz(r-4.4-noble)
teda_0.1.1.tgz(r-4.4-emscripten)teda_0.1.1.tgz(r-4.3-emscripten)
teda.pdf |teda.html✨
teda/json (API)
# Install 'teda' in R: |
install.packages('teda', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:d391e06dd9. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-linux | OK | Oct 31 2024 |
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Plot the tedab object | plot.tedab |
Print the tedab object | print.tedab |
Print the tedar object | print.tedar |
Summarise the tedab object | summary.tedab |
Summarize the tedar object | summary.tedar |
teda: An implementation of the Typicality and Eccentricity Data Analysis Framework. | teda-package teda |
Create teda batch object from a vector | teda_b |
Create teda recursive object from observation (+ state) | teda_r |