Package: ordinalpattern 0.2.9

Angelika Silbernagel

ordinalpattern: Tests Based on Ordinal Patterns

Ordinal patterns describe the dynamics of a time series by looking at the ranks of subsequent observations. By comparing ordinal patterns of two times series, Schnurr (2014) <doi:10.1007/s00362-013-0536-8> defines a robust and non-parametric dependence measure: the ordinal pattern coefficient. Functions to calculate this and a method to detect a change in the pattern coefficient proposed in Schnurr and Dehling (2017) <doi:10.1080/01621459.2016.1164706> are provided. Furthermore, the package contains a function for calculating the ordinal pattern frequencies. Generalized ordinal patterns as proposed by Schnurr and Fischer (2022) <doi:10.1016/j.csda.2022.107472> are also considered.

Authors:Alexander Duerre [aut], Svenja Fischer [ctb], Alexander Schnurr [aut], Angelika Silbernagel [aut, cre]

ordinalpattern_0.2.9.tar.gz
ordinalpattern_0.2.9.tar.gz(r-4.7-arm64)ordinalpattern_0.2.9.tar.gz(r-4.7-x86_64)ordinalpattern_0.2.9.tar.gz(r-4.6-arm64)ordinalpattern_0.2.9.tar.gz(r-4.6-x86_64)
ordinalpattern_0.2.9.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
ordinalpattern/json (API)

# Install 'ordinalpattern' in R:
install.packages('ordinalpattern', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.48 score 6 scripts 208 downloads 3 exports 2 dependencies

Last updated from:64fb3fa4c9. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK151
linux-devel-x86_64OK101
source / vignettesOK134
linux-release-arm64OK125
linux-release-x86_64OK129
wasm-releaseOK90

Exports:countingpatternspatternchangepatterndependence

Dependencies:gtoolsmvtnorm

Readme and manuals

Help Manual

Help pageTopics
Empirical Ordinal Pattern Distributioncountingpatterns print.patterncounts
Changepoint Detection Using Ordinal Patternspatternchange plot.change
Ordinal Pattern Dependencepatterndependence plot.pattern print.pattern