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.
Package details |
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Author | Alexander Duerre [aut], Svenja Fischer [ctb], Alexander Schnurr [aut], Angelika Silbernagel [aut, cre] |
Maintainer | Angelika Silbernagel <silbernagel@mathematik.uni-siegen.de> |
License | GPL-2 | GPL-3 |
Version | 0.2.5 |
Package repository | View on CRAN |
Installation |
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