R: Chaotic Time Series Analysis

# Chaotic Time Series Analysis

## Documentation for package ‘DChaos’ version 0.1-7

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

embedding | Provides the delayed-coordinate embedding vectors backwards
gauss.sim | Simulates time-series data from the Gauss map
henon.sim | Simulates time-series data from the Henon map
jacobian.net | Computes the partial derivatives from the best-fitted neural net model
logistic.sim | Simulates time-series data from the Logistic map
lyapunov | Estimates the Lyapunov exponent through several methods
lyapunov.max | Estimates the largest Lyapunov exponent
lyapunov.spec | Estimates the Lyapunov exponent spectrum
netfit | Fits any standard feedforward neural net model from time-series data
rossler.sim | Simulates time-series data from the Rossler system
summary.lyapunov | Summary method for a lyapunov object
w0.net | Estimates the initial parameter vector of the neural net model