Unidimensional and Multidimensional Methods for Recurrence Quantification Analysis

Auto, Cross and Multi-dimensional recurrence quantification analysis. Different methods for computing recurrence, cross vs. multidimensional or profile iti.e., only looking at the diagonal recurrent points, as well as functions for optimization and plotting are proposed. in-depth measures of the whole cross-recurrence plot, Please refer to Coco and others (2021) , Coco and Dale (2014) and Wallot (2018) for further details about the method.


Reference manual

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install.packages("crqa")

2.1.0 by Moreno I. Coco, 4 months ago


https://github.com/morenococo/crqa


Report a bug at https://github.com/morenococo/crqa/issues


Browse source code at https://github.com/cran/crqa


Authors: Moreno I. Coco [cre, aut] , Dan Mønster [aut] , Giuseppe Leonardi [aut] , Rick Dale [aut] , Sebastian Wallot [aut] , James D. Dixon [ctb] , John C. Nash [ctb] , Alexandra Paxton [ctb] , Polyphony Bruna [ctb]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports methods, Matrix, pracma, rdist, tseriesChaos, gplots, dplyr, ggplot2, future, furrr, Rcpp

Suggests knitr, rmarkdown

Linking to Rcpp

System requirements: GNU make


See at CRAN