ggs_traceplot {ggmcmc}

Traceplot of the chains

Description

Traceplot with the time series of the chains.

Usage

ggs_traceplot(
  D,
  family = NA,
  original_burnin = TRUE,
  original_thin = TRUE,
  simplify = NULL,
  hpd = FALSE,
  greek = FALSE
)

Arguments

D

Data frame with 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.

simplify

Numerical. A percentage of iterations to keep in the time series. It is an option intended only for the purpose of saving time and resources when doing traceplots. It is not a thin operation, because it is not regular. It must be used with care.

hpd

Logical indicating whether HPD intervals (using the defaults from ci()) must be added to the plot. It is FALSE by default.

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_traceplot(ggs(s))