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FractalParameterEstimation (version 1.1.2)

Simulation and Parameter Estimation of Randomized Sierpinski Carpets using the p-p-p-q-Model

Description

The parameters p and q are estimated with the aid of a randomized Sierpinski Carpet which is built on a [p-p-p-q]-model. Thereby, for three times a simulation with a p-value and once with a q-value is assumed. Hence, these parameters are estimated and displayed. Moreover, functions for simulating random Sierpinski-Carpets with constant and variable probabilities are included. For more details on the method please see Hermann et al. (2015) .

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Version

Install

install.packages('FractalParameterEstimation')

Monthly Downloads

170

Version

1.1.2

License

GPL (>= 2)

Maintainer

Last Published

July 10th, 2019

Functions in FractalParameterEstimation (1.1.2)

estimationFunction

Estimation of p and q for [p,p,p,q]-model
createSmallerMatrix

Creates Smaller Matrix from Data
simMatrix

Simulating 3x3 matrix with binomial random variables
potence

Exponentiation
fillMatrix

Fill Matrix with zeros and ones
increment

Increment
Data03025

Data of simulation of random Sierpinski-Carpet with [p,p,p,q]-model and p = 0.3 and q = 0.25
GSC

Simulation of Random Sierpinski-Carpets
Data0501

Data of simulation of random Sierpinski-Carpet with [p,p,p,q]-model and p = 0.5 and q = 0.1
FractalParameterEstimation-package

Simulation and Parameter Estimation of Randomized Sierpinski Carpets using the p-p-p-q-Model
GSC_seq

Simulation of Random Sierpinski-Carpets using variable probabilities
Data0603

Data of simulation of random Sierpinski-Carpet with [p,p,p,q]-model and p = 0.6 and q = 0.3
Data0201

Data of simulation of random Sierpinski-Carpet with [p,p,p,q]-model and p = 0.2 and q = 0.1
calcRamification

Calculation of Ramification