rotation3d

Rotation matrix for 3 dimensional problems

internal

Kernel smoothing for Wishart random matrices described in Daayeb, Khardani and Ouimet (2025) <doi:10.48550/arXiv.2506.08816>, Gaussian and log-Gaussian models using least square or likelihood cross validation criteria for optimal bandwidth selection.

Leo Belzile

Kernel Density Estimation for Random Symmetric Positive Definite
Matrices

Frederic Ouimet

rotation3d function

<dl><dt>par</dt>
<dd>vector of length 3 containing elements \(\phi \in [0, 2*\pi)\), \(\theta \in [0, \pi]\) and \(\psi \in [0, 2\pi)\), in that order.</dd></dl>

Arguments

Rotation matrix for 3 dimensional problems — rotation3d

<dl>

<dt>par</dt>
<dd>vector of length 3 containing elements \(\phi \in [0, 2*\pi)\), \(\theta \in [0, \pi]\) and \(\psi \in [0, 2\pi)\), in that order.</dd>

</dl>

rotation3d: Rotation matrix for 3 dimensional problems

Description

Usage

Value

Arguments