dplot.mcmc.list

Generate a plot of the posterior distribution

distribution

density

Meta-analysis

Facilitate frequentist and Bayesian meta-analysis of diagnosis and prognosis research studies. It includes functions to summarize multiple estimates of prediction model discrimination and calibration performance (Debray et al., 2019) <doi:10.1177/0962280218785504>. It also includes functions to evaluate funnel plot asymmetry (Debray et al., 2018) <doi:10.1002/jrsm.1266>. Finally, the package provides functions for developing multivariable prediction models from datasets with clustering (de Jong et al., 2021) <doi:10.1002/sim.8981>.

Thomas Debray

metamisc

Meta-Analysis of Diagnosis and Prognosis Research Studies

Valentijn de Jong

dplot.mcmc.list function

<dl><dt>x</dt>
<dd>An object of class <code>"mcmc.list"</code></dd>
<dt>P</dt>
<dd>Optional dataframe describing the parameters to plot and their respective names</dd>
<dt>plot_type</dt>
<dd>Optional character string to specify whether a density plot (<code>"dens"</code>) or 
histogram (<code>"hist"</code>) should be displayed.</dd>
<dt>...</dt>
<dd>Additional arguments which are currently not used</dd></dl>

Arguments

Thomas Debray &lt;thomas.debray@gmail.com&gt;

Author

Posterior distribution of estimated model parameters — dplot.mcmc.list

<dl>

<dt>x</dt>
<dd>An object of class <code>"mcmc.list"</code></dd>


<dt>P</dt>
<dd>Optional dataframe describing the parameters to plot and their respective names</dd>


<dt>plot_type</dt>
<dd>Optional character string to specify whether a density plot (<code>"dens"</code>) or 
histogram (<code>"hist"</code>) should be displayed.</dd>


<dt>...</dt>
<dd>Additional arguments which are currently not used</dd>

</dl>

dplot.mcmc.list: Posterior distribution of estimated model parameters

Description

Usage

Value

Arguments

Author