plotTimeSeriesResiduals

General-purpose MCMC and SMC samplers, as well as plot and
diagnostic functions for Bayesian statistics, with a particular focus on
calibrating complex system models. Implemented samplers include various
Metropolis MCMC variants (including adaptive and/or delayed rejection MH), the
T-walk, two differential evolution MCMCs, two DREAM MCMCs, and a sequential
Monte Carlo (SMC) particle filter.

Florian Hartig

BayesianTools

General-Purpose MCMC and SMC Samplers and Tools for Bayesian
Statistics

Francesco Minunno

Stefan  Paul

David Cameron

Tankred Ott

Maximilian Pichler

plotTimeSeriesResiduals function

<dl><dt>residuals</dt>
<dd>x</dd>
<dt>x</dt>
<dd>optional values for x axis (time)</dd>
<dt>main</dt>
<dd>title of the plot</dd></dl>

Arguments

Author

Plots residuals of a time series — plotTimeSeriesResiduals

<dl>

<dt>residuals</dt>
<dd>x</dd>


<dt>x</dt>
<dd>optional values for x axis (time)</dd>


<dt>main</dt>
<dd>title of the plot</dd>

</dl>

Plots residuals of a time series

plotTimeSeriesResiduals: Plots residuals of a time series

Description

Usage

Arguments

Author