plot.tscgm.ar2

Plots matrices from <code>tscgm.ar2</code> objects. You can choose to plot the precision matrix,
the first-order autoregressive matrix, or the second-order autoregressive matrix.

Computes sparse vector autoregressive coefficients and sparse
precision matrices for time series chain graphical models. Methods are
described in Abegaz and Wit (2013)
<doi:10.1093/biostatistics/kxt005>.

Fentaw Abegaz

SparseTSCGM

Sparse Time Series Chain Graphical Models

Ernst Wit

plot.tscgm.ar2 function

<dl><dt>x</dt>
<dd>An object of class <code>tscgm.ar2</code>.</dd>
<dt>mat</dt>
<dd>Character. Which matrix to plot. Choices are
<code>"precision"</code>, <code>"autoregression1"</code>, or <code>"autoregression2"</code>.</dd>
<dt>...</dt>
<dd>Additional plotting arguments passed to the plotting function.</dd></dl>

Arguments

Plot method for tscgm.ar2 objects — plot.tscgm.ar2

<dl>

<dt>x</dt>
<dd>An object of class <code>tscgm.ar2</code>.</dd>


<dt>mat</dt>
<dd>Character. Which matrix to plot. Choices are
<code>"precision"</code>, <code>"autoregression1"</code>, or <code>"autoregression2"</code>.</dd>


<dt>...</dt>
<dd>Additional plotting arguments passed to the plotting function.</dd>

</dl>

plot.tscgm.ar2: Plot method for tscgm.ar2 objects

Description

Usage

Arguments