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Title: Multiscale Multifractal Analysis of Time Series Data
Version: 0.1.1
Description: Multiscale multifractal analysis (MMA) (GieraƂtowski et al., 2012)<doi:10.1103/PhysRevE.85.021915> is a time series analysis method, designed to describe scaling properties of fluctuations within the signal analyzed. The main result of this procedure is the so called Hurst surface h(q,s) , which is a dependence of the local Hurst exponent h (fluctuation scaling exponent) on the multifractal parameter q and the scale of observation s (data window width).
Depends: R (≥ 3.0.2)
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Encoding: UTF-8
LazyData: true
Packaged: 2017-01-03 17:02:29 UTC; vishakh
Author: Vishakh Padmakumar [aut, cre], Rishab Ranga [aut], Amogha Udupa [aut], Param Hanji [aut]
Maintainer: Vishakh Padmakumar <vishakhpadmakumar@gmail.com>
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2017-01-04 10:56:05

Multiscale Multifractal Analysis of Time Series Data

Description

Multiscale Multifractal Analysis of Time Series Data

Usage

mma(smin = 10, smax = 600, qmin = -5, qmax = 5, data, col = "V1",
  theta = -45, phi = 25)

Arguments

smin

Minimal s scale used, when calculating Fq(s) functions family (default 10)

smax

Maximal s scale used, when calculating Fq(s) functions family, has to be multiple of 5 (default 600; in general should be near to N/50, where N is a time series length)

qmin

Minimal multifractal parameter q used (default -5)

qmax

Maximal cmultifractal parameter q used (deafault 5)

data

Time series data

col

The color variation of the plot

theta

Angle of view

phi

Second angle of view

Examples

## Not run: 
mma(smax=30, data=timeSeriesData)

## End(Not run)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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