mean.SS: Summary measures and plots for MS-B(S)VAR state-spaces
Description
Provides a summary and plotting methods for the SS class
objects produced from sampling the posterior of an MSBSVAR model.
These functions provide the mean regime probabilities and a plotting
method for them.Usage
mean.SS(x, ...)
sum.SS(x, ...)plot.SS(x, ylab="State Probabilities", ...)
Value
Mean and sum are $T \times h$ matrices for the first
two summary functions. The plot function generates a plot in the
current device. These are the posterior probability measures of the
Markov process regimes across $T$ periods.Details
The first two provide the sum and mean of the number of
time periods in each state of Markov-process. The last produces a
time series plot of the regime or state probabilities. These are
computed from the Markov Chain Monte Carlo sample computed from either
gibbs.msbsvar or gibbs.msbvar