ggmcmc (version 1.2)

ggs_geweke: Dotplot of the Geweke diagnostic, the standard Z-score

Description

Dotplot of Geweke diagnostic.

Usage

ggs_geweke(D, family = NA, frac1 = 0.1, frac2 = 0.5,
  shadow_limit = 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).

frac1

Numeric, proportion of the first part of the chains selected. Defaults to 0.1.

frac2

Numeric, proportion of the last part of the chains selected. Defaults to 0.5.

shadow_limit,

logical. When TRUE (the default), a shadowed area between -2 and +2 is drawn.

greek

Logical value indicating whether parameter labels have to be parsed to get Greek letters. Defaults to false.

Value

A ggplot object.

References

Fern<U+00E1>ndez-i-Mar<U+00ED>n, Xavier (2016) ggmcmc: Analysis of MCMC Samples and Bayesian Inference. Journal of Statistical Software, 70(9), 1-20. doi:10.18637/jss.v070.i09

Geweke, J. Evaluating the accuracy of sampling-based approaches to calculating posterior moments. In _Bayesian Statistics 4_ (ed JM Bernardo, JO Berger, AP Dawid and AFM Smith). Clarendon Press, Oxford, UK.

Examples

# NOT RUN {
data(linear)
ggs_geweke(ggs(s))
# }