forecast_sim {TSstudio} | R Documentation |
Forecasting simulation
Description
Creating different forecast paths for forecast objects (when applicable),
by utilizing the underline model distribution with the simulate
function
Usage
forecast_sim(model, h, n, sim_color = "blue", opacity = 0.05,
plot = TRUE)
Arguments
model |
A forecasting model supporting |
h |
An integer, defines the forecast horizon |
n |
An integer, set the number of iterations of the simulation |
sim_color |
Set the color of the simulation paths lines |
opacity |
Set the opacity level of the simulation path lines |
plot |
Logical, if TRUE will desplay the output plot |
Value
The baseline series, the simulated values and a plot
Examples
## Not run:
library(forecast)
data(USgas)
# Create a model
fit <- auto.arima(USgas)
# Simulate 100 possible forecast path, with horizon of 60 months
forecast_sim(model = fit, h = 60, n = 100)
## End(Not run)
[Package TSstudio version 0.1.7 Index]