rnorm_qts

This function adds uncorrelated Gaussian noise to the logarithm QTS using an
exponential covariance function.

An implementation of statistical tools for the analysis
of rotation-valued time series and functional data. It relies on
pre-existing quaternion data structure provided by the 'Eigen' 'C++'
library.

Aymeric Stamm

squat

Statistics for Quaternion Temporal Data

Lise Bellanger

Pierre Drouin

Benjamin Martineau

rnorm_qts function

<dl><dt>n</dt>
<dd>An integer specifying how many QTS should be generated.</dd>
<dt>mean_qts</dt>
<dd>An object of class <code>qts</code> specifying the mean QTS.</dd>
<dt>alpha</dt>
<dd>A positive scalar specifying the variance of each component of
the log-QTS. Defaults to <code>0.01</code>.</dd>
<dt>beta</dt>
<dd>A positive scalar specifying the exponential weight. Defaults to
<code>0.001</code>.</dd></dl>

Arguments

QTS Random Sampling — rnorm_qts

<dl>

<dt>n</dt>
<dd>An integer specifying how many QTS should be generated.</dd>


<dt>mean_qts</dt>
<dd>An object of class <code>qts</code> specifying the mean QTS.</dd>


<dt>alpha</dt>
<dd>A positive scalar specifying the variance of each component of
the log-QTS. Defaults to <code>0.01</code>.</dd>


<dt>beta</dt>
<dd>A positive scalar specifying the exponential weight. Defaults to
<code>0.001</code>.</dd>

</dl>

rnorm_qts: QTS Random Sampling

Description

Usage

Value

Arguments

Details

Examples