mean.SS: Summary measures and plots for MS-B(S)VAR state-spaces
In MSBVAR: Markov-Switching, Bayesian, Vector Autoregression Models

Description Usage Arguments Details Value Author(s) See Also

Provides a summary and plotting methods for the SS class objects produced from sampling the posterior of an MSBVAR model. These functions provide the mean regime probabilities and a plotting method for them.

## S3 method for class 'SS'
mean(x, ...)
## S3 method for class 'SS'
sum(x, ...)
## S3 method for class 'SS'
plot(x, ylab="State Probabilities", ...)

`x`	SS class object produced by sampling the posterior of a Markov-switching BVAR model in MSBVAR. These are produced by `gibbs.msbvar`.
`ylab`	y-axis label for the regime plot.
`...`	Other argument or graphics parameters for `plot`.

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 gibbs.msbvar

Mean and sum are T x 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.

Patrick T. Brandt

gibbs.msbvar, msbvar

MSBVAR documentation built on May 30, 2017, 1:23 a.m.