generate.model_mean | R Documentation |
Simulates future paths from a dataset using a fitted model. Innovations are
sampled by the model's assumed error distribution. If bootstrap
is TRUE
,
innovations will be sampled from the model's residuals. If new_data
contains the .innov
column, those values will be treated as innovations.
## S3 method for class 'model_mean' generate(x, new_data, bootstrap = FALSE, ...)
x |
A fitted model. |
new_data |
A |
bootstrap |
If |
... |
Additional arguments for forecast model methods. |
fabletools::generate.mdl_df
library(tsibbledata) vic_elec %>% model(avg = MEAN(Demand)) %>% generate()
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