The basic principle driving fractal generation of time series is that data is generated iteratively based on increasing levels of resolution. The initial series is defined by a socalled initiator pattern and then generators are used to replace each segment of the initial pattern. Regular, repeatable patterns can be produced by using the same seed and generators. By using a set of generators, nonrepeatable time series can be produced. This technique is the basis of the fractal time series process in this package.
Package details 


Author  Brian Lee Yung Rowe 
Maintainer  Brian Lee Yung Rowe <[email protected]> 
License  GPL3 
Version  1.1.0 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.