calcRamification: Calculation of Ramification

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

Description

This function computes on the basis of the data the number of ramifications, which is used later for estimation of parameters. In this setting of a [p-p-p-q]-model calculation for ramification delivers value of 4. Function is used by main function "estimationFunction" and shall not be called or changed by user.

Usage

calcRamification(figure)

Arguments

figure

Data matrix for which ramification is calculated

Value

Returns ramification of Data

Note

Shall not be called or changed by user.

Author(s)

Philipp Hermann; Jozef Kiselak; Milan Stehlik\ [e-mail]; [e-mail]; [e-mail]

References

Hermann, P., Mrkvicka, T., Mattfeldt, T., Minarova, M., Helisova, K., Nicolis, O., Wartner, F., and Stehlik, M. (2015). Fractal and stochastic Geometry Inference for Breast Cancer: a Case Study with Random Fractal Models and Quermass-Interaction Process. Statistics in Medicine, 34(18), 2636-2661. doi: 10.1002/sim.6497.

Examples

r = calcRamification(nrow(Data0201))

Example output

FractalParameterEstimation documentation built on July 10, 2019, 5:05 p.m.