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kendallRandomWalks

Simulations and distributions related to Kendall random walks: visit dedicated project page on Researchgate

To get started, install stable CRAN version

install.packages(“kendallRandomWalks”)

or the newest version from Github:

devtools::install_github(“mstaniak/kendallRandomPackage”)

Help: > ?kendallRandomWalks

Main functionalities:

• simulate_kendall_rw functions simulates Kendall random walks for a given step distribution. The simulation can be then plotted using generic plot function.
• transform_kendall_rw function allows user to play with different scalings and transformations of Kendall random walks to study its properties related to convergence.
• summarise_kendall_rw and mutate_kendall_rw functions allow user to modify or summarise simulated trajectories.
• ladder_moment and ladder_height functions help study distribution of first ladder moment and first ladder height empirically.
• ladder_moment_pmf gives exact PMF for first ladder moment.
• pkend, dkend, qkend and rkend are typical functions related to the stable Kendall distribution.
• g_function calculates Williamson transform numerically.

See vignettes for examples.

If you have a feature request or you found a bug, please leave an issue.

The goal of this package is to let anyone interested in Kendall convolution/generalized convolutions get familiar with them through visual means and experimentation and aid research in this area by providing tools for simulations.

Acknowledgement

This work is a part of project “First order Kendall maximal autoregressive processes and their applications”, which is carried out within the POWROTY/REINTEGRATION programme of the Foundation for Polish Science co-financed by the European Union under the European Regional Development Fund.

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.