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 
Date of publication  20130205 05:41:05 
Maintainer  Brian Lee Yung Rowe <[email protected]> 
License  GPL3 
Version  1.1.0 
Package repository  View on CRAN 
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