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tseriesChaos
View on CRAN: Click
here
Download and install tseriesChaos package within the R console
Install from CRAN:
install.packages("tseriesChaos")
Install from Github:
library("remotes")
install_github("cran/tseriesChaos")
Install by package version:
library("remotes")
install_version("tseriesChaos", "0.1-13.1")
Attach the package and use:
library("tseriesChaos")
Maintained by
Antonio Fabio Di Narzo
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2005-07-24
Latest Update: 2019-01-07
Description:
Routines for the analysis of nonlinear time series. This work is largely inspired by the TISEAN project, by Rainer Hegger, Holger Kantz and Thomas Schreiber: <http://www.mpipks-dresden.mpg.de/~tisean/>.
How to cite:
Antonio Fabio Di Narzo (2005). tseriesChaos: Analysis of Nonlinear Time Series. R package version 0.1-13.1, https://cran.r-project.org/web/packages/tseriesChaos. Accessed 02 Feb. 2025.
Previous versions and publish date:
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Other R packages that tseriesChaos depends,
imports, suggests or enhances
Complete documentation for tseriesChaos
Functions, R codes and Examples using
the tseriesChaos R package
Some associated functions: C2 . Lyapunov . d2 . duffing.syst . embedd . false.nearest . lorenz.syst . lorenz.ts . mutual . plot.ami . plot.d2 . plot.false.nearest . print.d2 . print.false.nearest . recurr . rossler.syst . rossler.ts . sim.cont . stplot . tseriesChaos-internal .
Some associated R codes: C2.R . checkEmbParms.R . d2.R . duffing.syst.R . embedd.R . false.nearest.R . find_knearests.R . follow_points.R . lorenz.syst.R . lyapunov.R . mutual.R . recurr.R . rossler.syst.R . sim.cont.R . stplot.R . Full tseriesChaos package functions and examples
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