plot.NMixPlugDensMarg

an object of class <code>NMixPlugDensMarg</code>.

if <code>TRUE</code> then the function determines itself
 how to divide the plotting region to draw densities for all margins.

auto.layout

type

main title of the plot. Either character which is
 replicated or a vector of characters of the length equal to the number of margins.

main

label for the x-axis. Either character which is
 replicated or a vector of characters of the length equal to the number of margins.

xlab

label for the y-axis. Either character which is
 replicated or a vector of characters of the length equal to the number of margins.

ylab

additional arguments passed to the <code>plot</code> function.

&#8230;

This is a basic plotting tool to visualize computed marginal
 plug-in estimates of densities, see <code>NMixPlugDensMarg</code>.

dplot

Contains a mixture of statistical methods including the MCMC methods to analyze normal mixtures. Additionally, model based clustering methods are implemented to perform classification based on (multivariate) longitudinal (or otherwise correlated) data. The basis for such clustering is a mixture of multivariate generalized linear mixed models.

Arnošt Komárek

mixAK

Multivariate Normal Mixture Models and Mixtures of Generalized
Linear Mixed Models Including Model Based Clustering

plot.NMixPlugDensMarg function

<dl> <dt>x</dt>
<dd>an object of class <code>NMixPlugDensMarg</code>.</dd> <dt>auto.layout</dt>
<dd>if <code>TRUE</code> then the function determines itself
 how to divide the plotting region to draw densities for all margins.</dd> <dt>type</dt>
<dd>type of the plot.</dd> <dt>col</dt>
<dd>color used to draw the lines.</dd> <dt>lty</dt>
<dd>type of the line.</dd> <dt>lwd</dt>
<dd>line width.</dd> <dt>main</dt>
<dd>main title of the plot. Either character which is
 replicated or a vector of characters of the length equal to the number of margins.</dd> <dt>xlab</dt>
<dd>label for the x-axis. Either character which is
 replicated or a vector of characters of the length equal to the number of margins.</dd> <dt>ylab</dt>
<dd>label for the y-axis. Either character which is
 replicated or a vector of characters of the length equal to the number of margins.</dd> <dt>...</dt>
<dd>additional arguments passed to the <code>plot</code> function.</dd>
 
</dl>

Arguments

Arnošt Komárek <a href="/link/arnost.komarek%40mff.cuni.cz?package=mixAK&version=5.4" data-mini-rdoc="mixAK::arnost.komarek@mff.cuni.cz">arnost.komarek@mff.cuni.cz</a>

Author

Plot computed marginal predictive densities — plot.NMixPlugDensMarg

<dl>

 <dt>x</dt>
<dd>an object of class <code>NMixPlugDensMarg</code>.</dd>

 <dt>auto.layout</dt>
<dd>if <code>TRUE</code> then the function determines itself
 how to divide the plotting region to draw densities for all margins.</dd>

 <dt>type</dt>
<dd>type of the plot.</dd>

 <dt>col</dt>
<dd>color used to draw the lines.</dd>

 <dt>lty</dt>
<dd>type of the line.</dd>

 <dt>lwd</dt>
<dd>line width.</dd>

 <dt>main</dt>
<dd>main title of the plot. Either character which is
 replicated or a vector of characters of the length equal to the number of margins.</dd>

 <dt>xlab</dt>
<dd>label for the x-axis. Either character which is
 replicated or a vector of characters of the length equal to the number of margins.</dd>

 <dt>ylab</dt>
<dd>label for the y-axis. Either character which is
 replicated or a vector of characters of the length equal to the number of margins.</dd>

 <dt>...</dt>
<dd>additional arguments passed to the <code>plot</code> function.</dd>
 
</dl>

Arnošt Komárek <a href='mailto:arnost.komarek@mff.cuni.cz'>arnost.komarek@mff.cuni.cz</a>

plot.NMixPlugDensMarg: Plot computed marginal predictive densities

Description

Usage

Value

Arguments

Author

See Also