Description Usage Arguments Value
View source: R/create_DF_Forecast.R
This function creates a data frame to be multiplied by the coefficients from the best model, which yields the out-of-sample forecasts.
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DATA |
A data frame or a univariate time series. |
forecast.horizon |
Number of periods for forecasting. |
y.name |
The name of the Y (left-hand side) variable. If NULL (default), the function creates a temporary name. |
y.max.lags |
A numeric value that gives the maximum number of lags of the Y (left-hand side) variable (see Details). Can be NULL (default) if the past values of the Y variable are not included in the model. |
x.names |
List with names of the X (right-hand side) variables that have a maximum number of lags (see Details). Can be NULL (default) if univariate model or if your model does not have variables of this type. |
x.max.lags |
List of numeric values that give the maximum number of lags of the X (right-hand side) variables. Can be NULL (default). |
x.fixed.names |
List with names of the X (right-hand side) variables that have a fixed number of lags (see Details). Can be NULL (default) if univariate model or if your model does not have variables of this type. |
x.fixed.lags |
List of numeric values that give the fixed number of lags of the variables in x.fixed.names. Can be NULL (default). |
x.interaction.names |
List of character vectors with names of the variables to be included as interaction terms (see Details). Can be NULL (default) if your model does not have interaction terms. |
x.interaction.lags |
List of numeric vectors with lags of the variables to be included as interaction terms. List and numeric vectors should have the same length as the ones in x.interaction.names. Can be NULL (default) if your model does not have interaction terms. |
A data frame.
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