print.easybgm

Used to print easybgm results. The nicest overview is created by first feeding it to
<code><a href="/link/summary()?package=easybgm&version=0.2.1" data-mini-rdoc="easybgm::summary()">summary()</a></code>

Fit and visualize the results of a Bayesian analysis of networks commonly found in psychology.
The package supports fitting cross-sectional network models fitted using the packages 'BDgraph', 'bgms' and 'BGGM'.
The package provides the parameter estimates, posterior inclusion probabilities, inclusion Bayes factor, and the
posterior density of the parameters. In addition, for 'BDgraph' and 'bgms' it allows to assess the posterior
structure space. Furthermore, the package comes with an extensive suite for visualizing results.

Karoline Huth

easybgm

Extracting and Visualizing Bayesian Graphical Models

Sara Keetelaar

print.easybgm function

<dl><dt>x</dt>
<dd>easybgm object</dd>
<dt>...</dt>
<dd>unused argument</dd></dl>

Arguments

Used to print easybgm results. The nicest overview is created by first feeding it to
<code><a href='https://rdrr.io/r/base/summary.html'>summary()</a></code>

Print method for easybgm objects — print.easybgm

<dl>

<dt>x</dt>
<dd>easybgm object</dd>


<dt>...</dt>
<dd>unused argument</dd>

</dl>

print.easybgm: Print method for `easybgm` objects

Description

Usage

Value

Arguments