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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.
Version: | 0.2.4 |
Depends: | gtools, mvtnorm |
Published: | 2024-06-06 |
DOI: | 10.32614/CRAN.package.ordinalpattern |
Author: | Alexander Duerre [aut, cre], Alexander Schnurr [aut], Angelika Silbernagel [aut] |
Maintainer: | Alexander Duerre <alexander.duerre at udo.edu> |
License: | GPL-2 | GPL-3 |
NeedsCompilation: | yes |
CRAN checks: | ordinalpattern results |
Reference manual: | ordinalpattern.pdf |
Package source: | ordinalpattern_0.2.4.tar.gz |
Windows binaries: | r-devel: ordinalpattern_0.2.4.zip, r-release: ordinalpattern_0.2.4.zip, r-oldrel: ordinalpattern_0.2.4.zip |
macOS binaries: | r-release (arm64): ordinalpattern_0.2.4.tgz, r-oldrel (arm64): ordinalpattern_0.2.4.tgz, r-release (x86_64): ordinalpattern_0.2.4.tgz, r-oldrel (x86_64): ordinalpattern_0.2.4.tgz |
Old sources: | ordinalpattern archive |
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