ggs_running: Running means of the chains

In ggmcmc: Tools for Analyzing MCMC Simulations from Bayesian Inference

Description

Running means of the chains.

Usage

ggs_running(
  D,
  family = NA,
  original_burnin = TRUE,
  original_thin = 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).
original_burnin	Logical. When TRUE (the default), start the iteration counter in the x-axis at the end of the burnin period.
original_thin	Logical. When TRUE (the default), take into account the thinning interval in the x-axis.
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_running(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
Registered S3 method overwritten by 'GGally':
  method from   
  +.gg   ggplot2

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