R: Changepoint State Plot

plotState {MCMCpack} | R Documentation

## 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`

[Package MCMCpack version 1.4-0 Index]