Package: FractalParameterEstimation 1.1.2

Philipp Hermann

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

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) <doi:10.1002/sim.6497>.

Authors:Philipp Hermann, Jozef Kiselak, Milan Stehlik

FractalParameterEstimation_1.1.2.tar.gz
FractalParameterEstimation_1.1.2.tar.gz(r-4.5-noble)FractalParameterEstimation_1.1.2.tar.gz(r-4.4-noble)
FractalParameterEstimation_1.1.2.tgz(r-4.4-emscripten)FractalParameterEstimation_1.1.2.tgz(r-4.3-emscripten)
FractalParameterEstimation.pdf |FractalParameterEstimation.html
FractalParameterEstimation/json (API)

# Install 'FractalParameterEstimation' in R:
install.packages('FractalParameterEstimation', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/phhermann/fractalparameterestimation/issues

Datasets:
  • Data0201 - Data of simulation of random Sierpinski-Carpet with [p,p,p,q]-model and p = 0.2 and q = 0.1
  • Data03025 - Data of simulation of random Sierpinski-Carpet with [p,p,p,q]-model and p = 0.3 and q = 0.25
  • Data0501 - Data of simulation of random Sierpinski-Carpet with [p,p,p,q]-model and p = 0.5 and q = 0.1
  • Data0603 - Data of simulation of random Sierpinski-Carpet with [p,p,p,q]-model and p = 0.6 and q = 0.3

1.00 score 10 scripts 152 downloads 9 exports 0 dependencies

Last updated 5 years agofrom:95cad2b413. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 16 2024
R-4.5-linuxOKDec 16 2024

Exports:calcRamificationcreateSmallerMatrixestimationFunctionfillMatrixGSCGSC_seqincrementpotencesimMatrix

Dependencies: