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- W3178111948 abstract "Recurrence quantification analysis is a widely used method for characterizing patterns in time series. This article presents a comprehensive survey for conducting a wide range of recurrence-based analyses to quantify the dynamical structure of single and multivariate time series, and to capture coupling properties underlying leader-follower relationships. The basics of recurrence quantification analysis (RQA) and all its variants are formally introduced step-by-step from the simplest auto-recurrence to the most advanced multivariate case. Importantly, we show how such RQA methods can be deployed under a single computational framework in R using a substantially renewed version our crqa 2.0 package. This package includes implementations of several recent advances in recurrence-based analysis, among them applications to multivariate data, and improved entropy calculations for categorical data. We show concrete applications of our package to example data, together with a detailed description of its functions and some guidelines on their usage." @default.
- W3178111948 created "2021-07-19" @default.
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- W3178111948 date "2021-01-01" @default.
- W3178111948 modified "2023-09-29" @default.
- W3178111948 title "Unidimensional and Multidimensional Methods for Recurrence Quantification Analysis with crqa" @default.
- W3178111948 doi "https://doi.org/10.32614/rj-2021-062" @default.
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