ggs_crosscorrelation: Plot the Cross-correlation between-chains

In ggmcmc: Tools for Analyzing MCMC Simulations from Bayesian Inference

Description

Plot the Cross-correlation between-chains.

Usage

ggs_crosscorrelation(D, family = NA, absolute_scale = TRUE, greek = FALSE)

Arguments

D	Data frame whith the simulations.
family	Name of the family of parameters to plot, as given by a character vector or a regular expression. A family of parameters is considered to be any group of parameters with the same name but different numerical value between square brackets (as beta[1], beta[2], etc).
absolute_scale	Logical. When TRUE (the default), the scale of the colour diverges between perfect inverse correlation (-1) to perfect correlation (1), whereas when FALSE, the scale is relative to the minimum and maximum cross-correlations observed.
greek	Logical value indicating whether parameter labels have to be parsed to get Greek letters. Defaults to false.

Value

a ggplot object.

References

Fernández-i-Marín, Xavier (2016) ggmcmc: Analysis of MCMC Samples and Bayesian Inference. Journal of Statistical Software, 70(9), 1-20. doi:10.18637/jss.v070.i09

Examples

data(linear)
ggs_crosscorrelation(ggs(s))

Example output

Loading required package: dplyr

Attaching package: 'dplyr'

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

Loading required package: tidyr
Loading required package: ggplot2

ggmcmc documentation built on Feb. 10, 2021, 5:10 p.m.