post_prior_densplot

Plots posterior densities and the densities of the corresponding priors. The prior density is automatically evaluated for the range given by the x-axis limits of the plot (which defaults to the posterior support).

A Bayesian framework for parameter inference in differential equations.
This approach offers a rigorous methodology for parameter inference as well as
modeling the link between unobservable model states and parameters, and
observable quantities. Provides templates for the DE model, the
observation model and data likelihood, and the model parameters and their prior
distributions. A Markov chain Monte Carlo (MCMC) procedure processes these inputs
to estimate the posterior distributions of the parameters and any derived
quantities, including the model trajectories. Further functionality is provided
to facilitate MCMC diagnostics and the visualisation of the posterior distributions
of model parameters and trajectories.

Philipp H Boersch-Supan

deBInfer

Bayesian Inference for Differential Equations

Leah R Johnson

Sadie J Ryan

post_prior_densplot function

<dl><dt>result</dt>
<dd>a deBInfer_result object</dd>
<dt>param</dt>
<dd>character, name of parameter to plot. "all" (default) plots all parameters</dd>
<dt>burnin</dt>
<dd>numeric, number of samples to discard before plotting</dd>
<dt>prior.col</dt>
<dd>character color for prior density</dd>
<dt>n, </dt>
<dd>integer, number of points at which to evaluate the prior density.</dd>
<dt>...</dt>
<dd>further arguments to coda::densplot</dd></dl>

Arguments

Plot posterior marginals and corresponding priors — post_prior_densplot

<dl>

<dt>result</dt>
<dd>a deBInfer_result object</dd>


<dt>param</dt>
<dd>character, name of parameter to plot. "all" (default) plots all parameters</dd>


<dt>burnin</dt>
<dd>numeric, number of samples to discard before plotting</dd>


<dt>prior.col</dt>
<dd>character color for prior density</dd>


<dt>n, </dt>
<dd>integer, number of points at which to evaluate the prior density.</dd>


<dt>...</dt>
<dd>further arguments to coda::densplot</dd>

</dl>

post_prior_densplot: Plot posterior marginals and corresponding priors

Description

Usage

Arguments