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>
License: GPL (≥ 3)
NeedsCompilation: yes
Citation: crqa citation info
CRAN checks: crqa results


Reference manual: crqa.pdf
Vignettes: Unidimensional and Multidimensional Methods for Recurrence Quantification Analysis with crqa()


Package source: crqa_2.0.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): crqa_2.0.6.tgz, r-oldrel (arm64): crqa_2.0.6.tgz, r-release (x86_64): crqa_2.0.6.tgz, r-oldrel (x86_64): crqa_2.0.6.tgz
Old sources: crqa archive

Reverse dependencies:

Reverse suggests: fractalRegression


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