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There should be a mechanism of defining, which variables should be predicted and which should be used as is. A method preparing explanatory variables is needed.
When the variable is marked for prediction this is what should happen inside the function:
Predict each marked explanatory variable;
Use fitted values for the estimation;
Use point forecasts for forecasting;
Use covariances between variables for the variance calculation;
Use (3) and (4) for the final forecasts.
The related issue: how to make this work with pure multiplicative and mixed models.
The text was updated successfully, but these errors were encountered:
There should be a mechanism of defining, which variables should be predicted and which should be used as is. A method preparing explanatory variables is needed.
When the variable is marked for prediction this is what should happen inside the function:
The related issue: how to make this work with pure multiplicative and mixed models.
The text was updated successfully, but these errors were encountered: