Package: nonlinearTseries
Type: Package
Title: Nonlinear Time Series Analysis
Version: 0.2.12
Date: 2022-3-28
Maintainer: Constantino A. Garcia <constantino.garciama@ceu.es>
Authors@R: c(person("Constantino A.", "Garcia",
                    email = "constantino.garciama@ceu.es",
                    role = c("aut", "cre")),
            person("Gunther", "Sawitzki",
                    role = "ctb"))
Description: Functions for nonlinear time series analysis. This package permits
    the computation of the  most-used nonlinear statistics/algorithms
    including generalized correlation dimension, information dimension,
    largest Lyapunov exponent, sample entropy and Recurrence
    Quantification Analysis (RQA), among others. Basic routines
    for surrogate data testing are also included. Part of this work
    was based on the  book "Nonlinear time series analysis" by
    Holger Kantz and Thomas Schreiber (ISBN: 9780521529020).
License: GPL-3
URL: https://github.com/constantino-garcia/nonlinearTseries
BugReports: https://github.com/constantino-garcia/nonlinearTseries/issues
Copyright: ANN library is copyright University of Maryland and Sunil
        Arya and David Mount. R wrapper is based on the ANN library,
        copyright Samuel Kemp 2005-9 and Gregory Jefferis 2009-2013.
        See file COPYRIGHT for details
Depends: R (>= 3.3.0)
Imports: Matrix, tseries, zoo, Rcpp (>= 0.12.12), graphics, stats,
        lifecycle
LinkingTo: Rcpp, RcppArmadillo
Suggests: rgl, plot3D, knitr, rmarkdown, testthat
VignetteBuilder: knitr
RoxygenNote: 7.1.2
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-03-30 17:29:28 UTC; gaussllego
Author: Constantino A. Garcia [aut, cre],
  Gunther Sawitzki [ctb]
Repository: CRAN
Date/Publication: 2022-03-30 18:00:02 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-21 09:42:08 UTC; windows
Archs: i386, x64
