qts2sqts

This function smooths a given QTS using a b-spline functional representation.

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

qts2sqts function

<dl><dt>x</dt>
<dd>An object of class qts.</dd>
<dt>spar</dt>
<dd>smoothing parameter, typically (but not necessarily) in
 \((0,1]\). When <code>spar</code> is specified, the coefficient
 \(\lambda\) of the integral of the squared second derivative in the
 fit (penalized log likelihood) criterion is a monotone function of
 <code>spar</code>, see the details below. Alternatively <code>lambda</code> may
 be specified instead of the scale free <code>spar</code>=\(s\).</dd></dl>

Arguments

QTS Transformation to Smoothed Quaternion Time Series — qts2sqts

<dl>

<dt>x</dt>
<dd>An object of class qts.</dd>


<dt>spar</dt>
<dd>smoothing parameter, typically (but not necessarily) in
 \((0,1]\). When <code>spar</code> is specified, the coefficient
 \(\lambda\) of the integral of the squared second derivative in the
 fit (penalized log likelihood) criterion is a monotone function of
 <code>spar</code>, see the details below. Alternatively <code>lambda</code> may
 be specified instead of the scale free <code>spar</code>=\(s\).</dd>

</dl>

qts2sqts: QTS Transformation to Smoothed Quaternion Time Series

Description

Usage

Value

Arguments

Examples