correlationPlot

object of class &quot;bayesianOutput&quot; or a matrix or data frame of variables

type of plot to do. Either &quot;smooth&quot; (default), &quot;corellipseCor&quot;, or &quot;ellipse&quot;

density

thinning of the matrix to make things faster. Default is to thin to 5000

thin

method for calculating correlations. Possible choices are &quot;pearson&quot; (default), &quot;kendall&quot; and &quot;spearman&quot;

method

indices of parameters that should be plotted

whichParameters

additional parameters to pass on to the <code><a rd-options="" href="/link/getSample?package=BayesianTools&version=0.1.0" data-mini-rdoc="BayesianTools::getSample">getSample</a></code>, for example parametersOnly =F, or start = 1000

Flexible function to create correlation density plots

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

correlationPlot function

additional parameters to pass on to the <code><a rd-options='' href='getSample'>getSample</a></code>, for example parametersOnly =F, or start = 1000

correlationPlot: Flexible function to create correlation density plots

Description

Usage

Arguments

References

See Also

Examples