doi:10.32614/RJ-2021-062>, Coco and Dale (2014) <doi:10.3389/fpsyg.2014.00510> and Wallot (2018) <doi:10.1080/00273171.2018.1512846> for further details about the method.">

crqa: Unidimensional and Multidimensional Methods for Recurrence Quantification Analysis (original) (raw)

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) <doi:10.32614/RJ-2021-062>, Coco and Dale (2014) <doi:10.3389/fpsyg.2014.00510> and Wallot (2018) <doi:10.1080/00273171.2018.1512846> for further details about the method.

Version: 2.0.6
Depends: R (≥ 3.5.0)
Imports: Matrix, pracma, rdist, tseriesChaos, gplots, dplyr, ggplot2
Suggests: knitr, rmarkdown
Published: 2024-06-05
DOI: 10.32614/CRAN.package.crqa
Author: 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]
Maintainer: Moreno I. Coco <moreno.cocoi at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: yes
Citation: crqa citation info
CRAN checks: crqa results

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