ggs_compare_partial: Density plots comparing the distribution of the whole chain...

In ggmcmc: Tools for Analyzing MCMC Simulations from Bayesian Inference

Description

Density plots comparing the distribution of the whole chain with only its last part.

Usage

ggs_compare_partial(D, family = NA, partial = 0.1, rug = FALSE, 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).
partial	Percentage of the chain to compare to. Defaults to the last 10 percent.
rug	Logical indicating whether a rug must be added to the plot. It is FALSE by default, since in large chains it may use lot of resources and it is not central to the plot.
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_compare_partial(ggs(s))

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