randomOrthogonalMatrix

Generate a random orthogonal basis matrix of dimension \((nrow x ncol)\) using 
the method in Heiberger (1978).

Gaussian finite mixture models fitted via EM algorithm for
model-based clustering, classification, and density estimation,
including Bayesian regularization, dimension reduction for
visualisation, and resampling-based inference.

Luca Scrucca

mclust

Gaussian Mixture Modelling for Model-Based Clustering,
Classification, and Density Estimation

Chris Fraley

Adrian E. Raftery

Thomas Brendan Murphy

Michael Fop

randomOrthogonalMatrix function

<dl> <dt>nrow</dt>
<dd>the number of rows of the resulting orthogonal matrix.</dd> <dt>ncol</dt>
<dd>the number of columns of the resulting orthogonal matrix.</dd> <dt>n</dt>
<dd>deprecated. See <code>nrow</code> above.</dd> <dt>d</dt>
<dd>deprecated. See <code>ncol</code> above.</dd> <dt>seed</dt>
<dd>an optional integer argument to use in <code><a href="/link/set.seed()?package=mclust&version=6.0.0" data-mini-rdoc="mclust::set.seed()">set.seed()</a></code> for 
 reproducibility. By default the current seed will be used.
 Reproducibility can also be achieved by calling <code><a href="/link/set.seed()?package=mclust&version=6.0.0" data-mini-rdoc="mclust::set.seed()">set.seed()</a></code>
 before calling this function.</dd></dl>

Arguments

Random orthogonal matrix — randomOrthogonalMatrix

<dl>

 <dt>nrow</dt>
<dd>the number of rows of the resulting orthogonal matrix.</dd>

 <dt>ncol</dt>
<dd>the number of columns of the resulting orthogonal matrix.</dd>

 <dt>n</dt>
<dd>deprecated. See <code>nrow</code> above.</dd>

 <dt>d</dt>
<dd>deprecated. See <code>ncol</code> above.</dd>

 <dt>seed</dt>
<dd>an optional integer argument to use in <code><a href='https://rdrr.io/r/base/Random.html'>set.seed()</a></code> for 
 reproducibility. By default the current seed will be used.
 Reproducibility can also be achieved by calling <code><a href='https://rdrr.io/r/base/Random.html'>set.seed()</a></code>
 before calling this function.</dd>

</dl>

randomOrthogonalMatrix: Random orthogonal matrix

Description

Usage

Value

Arguments

Details

References

See Also

Examples