crqa: 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) <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 |
Documentation:
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