plotState: Changepoint State Plot

In MCMCpack: Markov Chain Monte Carlo (MCMC) Package

Changepoint State Plot

Description

Plot the posterior probability that each time point is in each state.

Usage

plotState(
  mcmcout,
  main = "Posterior Regime Probability",
  ylab = expression(paste("Pr(", S[t], "= k |", Y[t], ")")),
  legend.control = NULL,
  cex = 0.8,
  lwd = 1.2,
  start = 1
)

Arguments

mcmcout	The mcmc object containing the posterior density sample from a changepoint model. Note that this must have a prob.state attribute.
main	Title of the plot.
ylab	Label for the y-axis.
legend.control	Control the location of the legend. It is necessary to pass both the x and y locations; i.e., c(x,y).
cex	Control point size.
lwd	Line width parameter.
start	The time of the first observation to be shown in the time series plot.

See Also

MCMCpoissonChange, MCMCbinaryChange

MCMCpack documentation built on May 29, 2024, 11:23 a.m.