plot: Casual Impact Plots
In tsmodels/tscausal: Time Series Causal Inference

Description Usage Arguments Author(s)

Provides visual diagnostis for causal effects.

## S3 method for class 'tscausal'
plot(x, y = NULL, median_color = "black", 
median_type = 1, median_width = 2, gradient_color = "orange", 
interval_color = "red", interval_type = 2, interval_width = 2, 
ylim = NULL, ylab = "", n_original = NULL, ...)

`x`	An object of class “tscausal” generated from calling `tscausal`.
`y`	Not used.
`median_color`	The color used for plotting the median value.
`median_type`	The line type for the median.
`median_width`	The width of the median line.
`gradient_color`	The gradient color to use for the distribution.
`interval_color`	The color of the quantile lines
`interval_type`	The line type for the quantiles.
`interval_width`	The width of the quantile lines.
`ylim`	User specified limits for y.
`ylab`	User specified label for y.
`n_original`	Number of points from the end of the intervention period to include in the plotting. For large time series it makes sense to not plot the entire period pre-intervention as this will visually obscure the post-intervention effects.
`...`	Additional parameters passed to the “plot.tsmodel.distribution” functions in the “tsmethods” package.