Prepare the clean dataframe for modelling

Usage

clean_data(
  raw_data,
  max.ar = 4,
  max.dl = 2,
  trend = TRUE,
  opts_df,
  module,
  use_logs
)

raw_data: A tibble or data.frame with the y variable and the x variables. Needs to have a column called 'time', which is of class Date. Variable names need to be in column 'na_item', and values in column 'values'.
max.ar: Integer. The maximum number of lags to use for the AR terms. as well as for the independent variables.
max.dl: Integer. The maximum number of lags to use for the independent variables (the distributed lags).
trend: Logical. Should a trend be added? Default is TRUE.
opts_df: Internal object containing detailed options and information on individual modules.
module: A row of the specification table.
use_logs: To decide whether to log any variables. Must be one of 'both', 'y', 'x', or 'none'. Default is 'both'.

A tibble with the cleaned data.