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fNonlinear: Rmetrics - Nonlinear and Chaotic Time Series Modelling

Provides a collection of functions for testing various aspects of univariate time series including independence and neglected nonlinearities. Further provides functions to investigate the chaotic behavior of time series processes and to simulate different types of chaotic time series maps.

Version: 4041.82
Depends: R (≥ 3.4.0), timeDate, timeSeries, fBasics
Imports: methods, stats
Suggests: RUnit, tcltk
Published: 2024-09-08
DOI: 10.32614/CRAN.package.fNonlinear
Author: Diethelm Wuertz [aut], Tobias Setz [aut], Yohan Chalabi [aut], Paul Smith [cre]
Maintainer: Paul Smith <paul at waternumbers.co.uk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://www.rmetrics.org
NeedsCompilation: yes
Materials: ChangeLog
In views: Finance, TimeSeries
CRAN checks: fNonlinear results

Documentation:

Reference manual: fNonlinear.pdf

Downloads:

Package source: fNonlinear_4041.82.tar.gz
Windows binaries: r-devel: fNonlinear_4041.82.zip, r-release: fNonlinear_4041.82.zip, r-oldrel: fNonlinear_4041.82.zip
macOS binaries: r-release (arm64): fNonlinear_4041.82.tgz, r-oldrel (arm64): fNonlinear_4041.82.tgz, r-release (x86_64): fNonlinear_4041.82.tgz, r-oldrel (x86_64): fNonlinear_4041.82.tgz
Old sources: fNonlinear archive

Reverse dependencies:

Reverse imports: DescribeDF

Linking:

Please use the canonical form https://CRAN.R-project.org/package=fNonlinear to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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