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]
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 10 May. 2025.
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)
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
04/1004/1104/1204/1304/1404/1504/1604/1704/1804/1904/2004/2104/2204/2304/2404/2504/2604/2704/2804/2904/3005/0105/0205/0305/0405/0505/0605/0705/0805/09Downloads for DChaos051015202530354045TrendBars

Today's Hot Picks in Authors and Packages

specklestar  
Reduction of Speckle Data from BTA 6-m Telescope
A set of functions for obtaining positional parameters and magnitude difference between components o ...
Download / Learn more Package Citations See dependency  
distreg.vis  
Framework for the Visualization of Distributional Regression Models
Functions for visualizing distributional regression models fitted using the 'gamlss', 'bamlss' or 'b ...
Download / Learn more Package Citations See dependency  
dataprep  
Efficient and Flexible Data Preprocessing Tools
Efficiently and flexibly preprocess data using a set of data filtering, deletion, and interpolation ...
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  
hdpGLM  
Hierarchical Dirichlet Process Generalized Linear Models
Implementation of MCMC algorithms to estimate the Hierarchical Dirichlet Process Generalized Linear ...
Download / Learn more Package Citations See dependency  

24,205

R Packages

207,311

Dependencies

65,402

Author Associations

24,206

Publication Badges

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