plot.simData

Generates a forest plot of the simulated meta-analysis dataset,
showing the observed effect sizes (TE) with 95

Provides a new class of Bayesian meta-analysis models that incorporates a model for internal and external validity bias. In this way, it is possible to combine studies of diverse quality and different types. For example, we can combine the results of randomized control trials (RCTs) with the results of observational studies (OS).

Pablo Emilio Verde

jarbes

Just a Rather Bayesian Evidence Synthesis

plot.simData function

<dl><dt>x</dt>
<dd>A `simData` object created by `simData()`.</dd>
<dt>x.lim</dt>
<dd>Numeric vector of length 2 specifying the x-axis limits.</dd>
<dt>x.lab</dt>
<dd>Text with the label of the x-axis.</dd>
<dt>y.lab</dt>
<dd>Text with the label of the y-axis.</dd>
<dt>title.plot</dt>
<dd>Text for the title of the plot.</dd>
<dt>bias_colors</dt>
<dd>Named character vector specifying colors for bias categories.</dd>
<dt>bias_legend_title</dt>
<dd>Text label for the bias legend.</dd>
<dt>ref_line_color</dt>
<dd>Color for the vertical reference line corresponding to the mean.</dd>
<dt>...</dt>
<dd>Additional arguments (currently not used).</dd></dl>

Arguments

Forest Plot for simData Objects — plot.simData

<dl>

<dt>x</dt>
<dd>A `simData` object created by `simData()`.</dd>


<dt>x.lim</dt>
<dd>Numeric vector of length 2 specifying the x-axis limits.</dd>


<dt>x.lab</dt>
<dd>Text with the label of the x-axis.</dd>


<dt>y.lab</dt>
<dd>Text with the label of the y-axis.</dd>


<dt>title.plot</dt>
<dd>Text for the title of the plot.</dd>


<dt>bias_colors</dt>
<dd>Named character vector specifying colors for bias categories.</dd>


<dt>bias_legend_title</dt>
<dd>Text label for the bias legend.</dd>


<dt>ref_line_color</dt>
<dd>Color for the vertical reference line corresponding to the mean.</dd>


<dt>...</dt>
<dd>Additional arguments (currently not used).</dd>

</dl>

plot.simData: Forest Plot for simData Objects

Description

Arguments