Last data update: 2014.03.03

 R: Changepoint State Plot
plotStateR 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

Results


Created & Maintained by Osamu Ogasawara (osamu.ogasawara@gmail.com) and IMSBIO