VARglm

This function computes a VAR model using glm.

Weighted network visualization and analysis, as well as Gaussian graphical model computation. See Epskamp et al. (2012) <doi:10.18637/jss.v048.i04>.

Sacha Epskamp

qgraph

Graph Plotting Methods, Psychometric Data Visualization and
Graphical Model Estimation

Giulio Costantini

Jonas Haslbeck

Adela Isvoranu

Angelique O. J. Cramer

Lourens J. Waldorp

Verena D. Schmittmann

Denny Borsboom

VARglm function

<dl> <dt>x</dt>
<dd>A data frame or matrix containing repeated measures</dd> <dt>family</dt>
<dd>The family to be used. Defaults to <code>gaussian</code> if data is continuous or <code>binomial</code> if data is binary</dd> <dt>vars</dt>
<dd>Vector of variables to predict. If missing all variables are predicted.</dd> <dt>adjacency</dt>
<dd>Adjacency matrix. If missing full network is estimated</dd> <dt>icfun</dt>
<dd>Information criterion function to be included in the output</dd> <dt>...</dt>
<dd>Arguments used in the <code>icfun</code></dd></dl>

Arguments

Sacha Epskamp &lt;mail@sachaepskamp.com&gt;

Author

Computes a vector autoregressive lag-1 model using GLM — VARglm

<dl>

 <dt>x</dt>
<dd>A data frame or matrix containing repeated measures</dd>

 <dt>family</dt>
<dd>The family to be used. Defaults to <code>gaussian</code> if data is continuous or <code>binomial</code> if data is binary</dd>

 <dt>vars</dt>
<dd>Vector of variables to predict. If missing all variables are predicted.</dd>

 <dt>adjacency</dt>
<dd>Adjacency matrix. If missing full network is estimated</dd>

 <dt>icfun</dt>
<dd>Information criterion function to be included in the output</dd>

 <dt>...</dt>
<dd>Arguments used in the <code>icfun</code></dd>

</dl>

VARglm: Computes a vector autoregressive lag-1 model using GLM

Description

Usage

Value

Arguments

Author