plot_comp: Plot Posterior State Components
In mbsts: Multivariate Bayesian Structural Time Series

plot_comp

R Documentation

Plot Posterior State Components

Description

Plots of the mean of posterior state components of each target series, which is generated by the model training procedure of the MBSTS model.

Usage

plot_comp(
  object,
  slope,
  local,
  season,
  cyc,
  time = NULL,
  title = NULL,
  component_selection = "All"
)

## S4 method for signature 'mbsts'
plot_comp(
  object,
  slope,
  local,
  season,
  cyc,
  time = NULL,
  title = NULL,
  component_selection = "All"
)

Arguments

`object`	An object of the mbsts class created by a call to the mbsts_function function.
`slope`	A logical vector indicating whether there is trend for each target series, such as c(T,T).
`local`	A logical vector indicating whether there is local level for each target series, such as c(T,T).
`season`	A numerical vector indicating the seasonality for each target series, such as c(12,0).
`cyc`	A logical vector indicating whether there is a cycle component for each target series, such as c(F,T).
`time`	Null or a data frame for time index of the time series. The default value is data.frame(seq(1,n)).
`title`	NULL or a character vector whose entries are titles for the plots of target series' posterior state components, such as c("Posterior State Components of y1", "Posterior State Components of y2"). The default is c("y1","y2",...).
`component_selection`	A character variable whose value must be one of "All", "Trend", "Seasonal", "Cycle", and "Regression". Here, "Trend" means the trend component only and "All" means all the components.