Other packages > Find by keyword >

DChaos  

Chaotic Time Series Analysis
View on CRAN: Click here


Download and install DChaos package within the R console
Install from CRAN:
install.packages("DChaos")

Install from Github:
library("remotes")
install_github("cran/DChaos")

Install by package version:
library("remotes")
install_version("DChaos", "0.1-7")



Attach the package and use:
library("DChaos")
Maintained by
Julio E. Sandubete
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-14
Latest Update: 2023-03-29
Description:
Chaos theory has been hailed as a revolution of thoughts and attracting ever increasing attention of many scientists from diverse disciplines. Chaotic systems are nonlinear deterministic dynamic systems which can behave like an erratic and apparently random motion. A relevant field inside chaos theory and nonlinear time series analysis is the detection of a chaotic behaviour from empirical time series data. One of the main features of chaos is the well known initial value sensitivity property. Methods and techniques related to test the hypothesis of chaos try to quantify the initial value sensitive property estimating the Lyapunov exponents. The DChaos package provides different useful tools and efficient algorithms which test robustly the hypothesis of chaos based on the Lyapunov exponent in order to know if the data generating process behind time series behave chaotically or not.
How to cite:
Julio E. Sandubete (2019). DChaos: Chaotic Time Series Analysis. R package version 0.1-7, https://cran.r-project.org/web/packages/DChaos. Accessed 12 Oct. 2026.
Previous versions and publish date:
0.1-1 (2019-04-14 13:02), 0.1-2 (2019-05-29 09:30), 0.1-3 (2019-10-17 00:00), 0.1-4 (2020-05-04 23:50), 0.1-5 (2020-05-10 08:50), 0.1-6 (2021-02-10 11:40), (2026-07-09 08:01)
Other packages that cited DChaos R package
View DChaos citation profile
Other R packages that DChaos depends, imports, suggests or enhances
Complete documentation for DChaos
Functions, R codes and Examples using the DChaos R package
Some associated functions: embedding . gauss.sim . henon.sim . jacobian.net . logistic.sim . lyapunov.max . lyapunov . lyapunov.spec . netfit . rossler.sim . summary.lyapunov . w0.net . 
Some associated R codes: embedding.R . gauss.sim.R . henon.sim.R . jacobian.net.R . logistic.sim.R . lyapunov.R . lyapunov.max.R . lyapunov.spec.R . netfit.R . rossler.sim.R . summary.lyapunov.R . w0.net.R .  Full DChaos package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ggparliament  
Parliament Plots
Simple parliament plots using 'ggplot2'. Visualize election results as points in the architectural l ...
Download / Learn more Package Citations See dependency  
gwavr  
Get Water Attributes Visually in R
Provides methods to Get Water Attributes Visually in R ('gwavr'). This allows the user to point and ...
Download / Learn more Package Citations See dependency  
cglasso  
Conditional Graphical LASSO for Gaussian Graphical Models with Censored and Missing Values
Conditional graphical lasso estimator is an extension of the graphical lasso proposed to estimate th ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
SLEMI  
Statistical Learning Based Estimation of Mutual Information
The implementation of the algorithm for estimation of mutual information and channel capacity from e ...
Download / Learn more Package Citations See dependency  

29,000

R Packages

247,686

Dependencies

76,729

Author Associations

29,001

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA