Get data for forecast models — get_forecast

Keep only the latest contiguous time series, dropping all other NA values from the response variable. Removes test column variables first.

Usage

get_forecast_data(df, response, sort_col, sort_descending, test_col)

df: Data frame of model data.
response: Column name of response variable to be used as the input to the forecast function.
sort_col: Column name of column to arrange data by in dplyr::arrange(), prior to filtering for latest contiguous time series and producing the forecast. Not used if NULL, defaults to "year".
sort_descending: Logical value on whether the sorted values from sort_col should be sorted in descending order. Defaults to FALSE.
test_col: Name of logical column specifying which response values to remove for testing the model's predictive accuracy. If NULL, ignored. See model_error() for details on the methods and metrics returned.

A data series.