Unidimensional and Multidimensional Methods for Recurrence Quantification Analysis R package crqa version 2.1.0 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. Software Depends: R (>= 3.5.0) Imports: methods, Matrix, pracma, rdist, tseriesChaos, gplots, dplyr, ggplot2, future, furrr, Rcpp (>= 1.0.0) LinkingTo: Rcpp Suggests: knitr, rmarkdown Moreno I. Coco <moreno.cocoi@gmail.com> Comprehensive R Archive Network (CRAN) 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] GPL (>= 3) 2026-05-26 application/tgz https://CRAN.R-project.org/package=crqa doi:10.32614/CRAN.package.crqa