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plotState

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

MCMCpack

Markov Chain Monte Carlo (MCMC) Package

v1.5-0
GPL-3
Authors
Andrew D. Martin [aut], Kevin M. Quinn [aut], Jong Hee Park [aut,cre], Ghislain Vieilledent [ctb], Michael Malecki[ctb], Matthew Blackwell [ctb], Keith Poole [ctb], Craig Reed [ctb], Ben Goodrich [ctb], Ross Ihaka [cph], The R Development Core Team [cph], The R Foundation [cph], Pierre L'Ecuyer [cph], Makoto Matsumoto [cph], Takuji Nishimura [cph]
Initial release
2021-01-19

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