rpkb

Generates a random sample from PKB distributions.

Provides tools for estimation and clustering of spherical data, seamlessly integrated with the 'flexmix' package. Includes the necessary M-step implementations for both Poisson Kernel-Based Distribution (PKBD) and spherical Cauchy distribution. Additionally, the package provides random number generators for PKBD and spherical Cauchy distribution. Methods are based on Golzy M., Markatou M. (2020) <doi:10.1080/10618600.2020.1740713>, Kato S., McCullagh P. (2020) <doi:10.3150/20-bej1222> and Sablica L., Hornik K., Leydold J. (2023) <doi:10.1214/23-ejs2149>.

Lukas Sablica

circlus

Clustering and Simulation of Spherical Cauchy and PKBD Models

Kurt Hornik

Bettina Gruen

Josef Leydold

rpkb function

<dl><dt>n</dt>
<dd>The number of random draws.</dd>
<dt>rho</dt>
<dd>A numeric giving the concentration parameter.</dd>
<dt>mu</dt>
<dd>A numeric vector giving the mean direction parameter.</dd>
<dt>method</dt>
<dd>A character indicating the method to use, <code>"ACG"</code> for
angular central Gaussian distribution envelopes and <code>"Saw"</code> for
the use of projected Saw distributions.</dd></dl>

Arguments

Random Sampling from PKB Distributions using ACG or
Projected Saw Distributions — rpkb

<dl>

<dt>n</dt>
<dd>The number of random draws.</dd>


<dt>rho</dt>
<dd>A numeric giving the concentration parameter.</dd>


<dt>mu</dt>
<dd>A numeric vector giving the mean direction parameter.</dd>


<dt>method</dt>
<dd>A character indicating the method to use, <code>"ACG"</code> for
angular central Gaussian distribution envelopes and <code>"Saw"</code> for
the use of projected Saw distributions.</dd>

</dl>

rpkb: Random Sampling from PKB Distributions using ACG or Projected Saw Distributions

Description

Usage

Value

Arguments

Examples