plot.mbsts: Plotting Functions for Multivariate Bayesian Structural Time...
In michelletran/bsts: Bayesian Structural Time Series

Functions to plot the results of a model fit using mbsts.

## S3 method for class 'mbsts'
plot(x, y = c("means", "help"), ...)

PlotMbstsSeriesMeans(mbsts.object,
                     series.id = NULL,
                     same.scale = TRUE,
                     burn = SuggestBurn(.1, mbsts.object),
                     time, 
                     show.actuals = TRUE,
                     ylim = NULL,
                     gap = 0, 
                     ...)

`x`	An object of class `mbsts`.
`y`	A character string indicating the aspect of the model that should be plotted.
`mbsts.object`	An object of class `mbsts`.
`series.id`	Indicates which series should be plotted. An integer, logical, or character vector.
`same.scale`	Logical. If `TRUE` then all the series or state components will be plotted with the same scale on the vertical axis. If `FALSE` then each plot will get its own scale for the vertical axis.
`burn`	The number of MCMC iterations to discard as burn-in.
`time`	An optional vector of values to plot against. If missing, the default is to diagnose the time scale of the original time series.
`show.actuals`	Logical. If `TRUE` then actual values from the fitted series will be shown on the plot.
`ylim`	Limits for the vertical axis. If `NULL` these will be inferred from the state components and the `same.scale` argument. Otherwise all plots will be created with the same `ylim` values.
`gap`	The number of lines to leave between plots. This need not be an integer.
`...`	Additional arguments passed to `PlotDynamicDistribution`.