plot.post_sim_list

Plots the inference results from a debinfer_result object

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

plot.post_sim_list function

<dl><dt>x</dt>
<dd>a post_sim or post_sim_list object</dd>
<dt>plot.type</dt>
<dd>character, which type of plot. Options are "ensemble" and "medianHDI".</dd>
<dt>col</dt>
<dd>color, for plot.type = "medianHDI" the first element is used for the median, the second for the HDI</dd>
<dt>lty</dt>
<dd>line type, for plot.type = "medianHDI" the first element is used for the median, the second for the HDI</dd>
<dt>auto.layout</dt>
<dd>logical, should the layout for plot.type = "medianHDI" be determined automatically?</dd>
<dt>panel.first</dt>
<dd>an expression to be evaluated after the plot axes are set up but before any plotting takes place. This can be useful for adding data points.</dd>
<dt>...</dt>
<dd>further arguments to methods</dd></dl>

Arguments

Plot posterior trajectory — plot.post_sim_list

<dl>

<dt>x</dt>
<dd>a post_sim or post_sim_list object</dd>


<dt>plot.type</dt>
<dd>character, which type of plot. Options are "ensemble" and "medianHDI".</dd>


<dt>col</dt>
<dd>color, for plot.type = "medianHDI" the first element is used for the median, the second for the HDI</dd>


<dt>lty</dt>
<dd>line type, for plot.type = "medianHDI" the first element is used for the median, the second for the HDI</dd>


<dt>auto.layout</dt>
<dd>logical, should the layout for plot.type = "medianHDI" be determined automatically?</dd>


<dt>panel.first</dt>
<dd>an expression to be evaluated after the plot axes are set up but before any plotting takes place. This can be useful for adding data points.</dd>


<dt>...</dt>
<dd>further arguments to methods</dd>

</dl>

plot.post_sim_list: Plot posterior trajectory

Description

Usage

Arguments