crqa: Recurrence Quantification Analysis for Categorical and Continuous Time-Series

Auto, Cross and Multi-dimensional recurrence quantification analysis. Different methods for computing recurrence, cross vs. multidimensional or profile it -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 Dale (2014) <doi:10.3389/fpsyg.2014.00510> and Wallot (2018) <doi:10.1080/00273171.2018.1512846> for further details about the method.

Version: 2.0.2
Depends: R (≥ 3.5.0)
Imports: Matrix, pracma, tseriesChaos, gplots, plot3D, FSA, rdist
Suggests: knitr, rmarkdown
Published: 2021-06-03
Author: Moreno I. Coco [cre, aut], Dan Monster [aut], Giuseppe Leonardi [aut], Rick Dale [aut], Sebastian Wallot [aut], James D. Dixon [ctb], John C. Nash [ctb]
Maintainer: Moreno I. Coco <moreno.cocoi at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: crqa citation info
Materials: README NEWS
CRAN checks: crqa results


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


Package source: crqa_2.0.2.tar.gz
Windows binaries: r-devel:, r-devel-UCRT:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): crqa_2.0.2.tgz, r-release (x86_64): crqa_2.0.2.tgz, r-oldrel: crqa_2.0.2.tgz
Old sources: crqa archive

Reverse dependencies:

Reverse imports: sindyr


Please use the canonical form to link to this page.