circular_mode

MLE angle (maximum density) using a von Mises distribution kernel with
specified concentration.

Models the direction of the maximum horizontal stress using
relative plate motion parameters. Statistical algorithms to evaluate
the modeling results compared with the observed data. Provides plots
to visualize the results. Methods described in Stephan et al. (2023)
<doi:10.1038/s41598-023-42433-2> and Wdowinski (1998)
<doi:10.1016/S0079-1946(98)00091-3>.

Tobias Stephan

tectonicr

Analyzing the Orientation of Maximum Horizontal Stress

circular_mode function

<dl><dt>x</dt>
<dd>numeric vector. Values in degrees.</dd>
<dt>kappa</dt>
<dd>von Mises distribution concentration parameter. Will be
estimated using <code>est.kappa()</code> if not provided.</dd>
<dt>axial</dt>
<dd>logical. Whether the data are axial, i.e. pi-periodical
(<code>TRUE</code>, the default) or directional, i.e. \(2 \pi\)-periodical (<code>FALSE</code>).#' @param kappa</dd>
<dt>n</dt>
<dd>the number of equally spaced points at which the density is to be estimated.</dd></dl>

Arguments

Circular Mode — circular_mode

<dl>

<dt>x</dt>
<dd>numeric vector. Values in degrees.</dd>


<dt>kappa</dt>
<dd>von Mises distribution concentration parameter. Will be
estimated using <code>est.kappa()</code> if not provided.</dd>


<dt>axial</dt>
<dd>logical. Whether the data are axial, i.e. pi-periodical
(<code>TRUE</code>, the default) or directional, i.e. \(2 \pi\)-periodical (<code>FALSE</code>).#' @param kappa</dd>


<dt>n</dt>
<dd>the number of equally spaced points at which the density is to be estimated.</dd>

</dl>

circular_mode: Circular Mode

Description

Usage

Value

Arguments

Examples