Plot the posterior predictive distribution from an
  mbsts prediction object.
# S3 method for mbsts.prediction
plot(x,
     y = NULL,
     burn = 0,
     plot.original = TRUE,
     median.color = "blue",
     median.type = 1,
     median.width = 3,
     interval.quantiles = c(.025, .975),
     interval.color = "green",
     interval.type = 2,
     interval.width = 2,
     style = c("dynamic", "boxplot"),
     ylim = NULL,
     series.id = NULL,
     same.scale = TRUE,
     gap = 0,
     ...)Returns NULL.
An object of class bsts.prediction
    created by calling predict on a bsts object.
A dummy argument necessary to match the signature of the
    plot generic function.  This argument is unused.
Logical or numeric.  If TRUE then the
      prediction is plotted after a time series plot of the original
      series.  If FALSE, the prediction fills the entire plot.
      If numeric, then it specifies the number of trailing observations
      of the original time series to plot in addition to the
      predictions.
The number of observations you wish to discard as burn-in
       from the posterior predictive distribution.  This is in addition
       to the burn-in discarded using predict.bsts.
The color to use for the posterior median of the prediction.
The type of line (lty) to use for the posterior median of the prediction.
The width of line (lwd) to use for the posterior median of the prediction.
The lower and upper limits of the credible interval to be plotted.
The color to use for the upper and lower limits of the 95% credible interval for the prediction.
The type of line (lty) to use for the upper and lower limits of the 95% credible inerval for of the prediction.
The width of line (lwd) to use for the upper and lower limits of the 95% credible inerval for of the prediction.
Either "dynamic", for dynamic distribution plots, or "boxplot", for box plots. Partial matching is allowed, so "dyn" or "box" would work, for example.
Limits on the vertical axis.
A factor, string, or integer used to indicate which of the multivariate series to plot. If NULL then predictions for all series will be plotted. If there are many series this can make the plot unreadable.
Logical. If TRUE then all predictions are plotted with the same scale, and limits are drawn on the Y axis. If FALSE then each prediction is drawn to fill its plot region, and no tick marks are drawn on the y axis. If ylim is specified then it is used for all plots, and same.scale is ignored.
The amount of space to leave between plots, measured in lines of text.
Extra arguments to be passed to
    PlotDynamicDistribution
    and lines.
Plots the posterior predictive distribution described by
  x using a dynamic distribution plot generated by
  PlotDynamicDistribution.  Overlays the
  posterior median and 95% prediction limits for the predictive
  distribution.