sphere.boot.sample

This function generates bootstrap samples from a spherical kernel estimator.

internal

We provide an R tool for computation and nonparametric plug-in estimation of Highest Density Regions (HDRs) and general level sets in the directional setting. Concretely, circular and spherical HDRs can be reconstructed from a data sample following Saavedra-Nieves and Crujeiras (2021) <doi:10.1007/s11634-021-00457-4>. This library also contains two real datasets in the circular and spherical settings. The first one concerns a problem from animal orientation studies and the second one is related to earthquakes occurrences.

Paula Saavedra-Nieves

HDiR

Directional Highest Density Regions

Rosa M Crujeiras

Andrés Prieto

Felicita Scapini

sphere.boot.sample function

<dl> <dt>sample</dt>
<dd>Matrix of <code>n</code> rows and three columns containing the sample of points on the unit sphere.</dd> <dt>n</dt>
<dd>Sample size to be generated.</dd> <dt>bw</dt>
<dd>Bandwidth parameter.</dd></dl>

Arguments

Paula Saavedra-Nieves and Rosa M. Crujeiras.

Author

Bootstrap samples from a spherical kernel estimator — sphere.boot.sample

<dl>

 <dt>sample</dt>
<dd>Matrix of <code>n</code> rows and three columns containing the sample of points on the unit sphere.</dd>

 <dt>n</dt>
<dd>Sample size to be generated.</dd>

 <dt>bw</dt>
<dd>Bandwidth parameter.</dd>

</dl>

sphere.boot.sample: Bootstrap samples from a spherical kernel estimator

Description

Usage

Value

Arguments

Author