Add the estimated fitted values back to the original

Usage

add_to_original_data(
  clean_data,
  model_object,
  dep_var_basename = "imports_of_goods_and_services",
  model_type = "ardl",
  opts_df,
  module
)

Arguments

clean_data: An input data.frame or tibble. Must be the output of clean_data() to fit all requirements.
model_object: Most likely should be returned by the 'estimate_module()' function.
dep_var_basename: A character string of the name of the dependent variable as contained in clean_data() in a level form (i.e. no ln or D in front of the name).
model_type: Either 'ardl', 'ecm', or 'cvar' to determine whether to estimate the model as an Autoregressive Distributed Lag Function (ardl), as an Equilibrium Correction Model (ecm), or as a cointegrated vector autoregression.
opts_df: Internal object containing detailed options and information on individual modules.
module: A row of the specification table.

Value

A tibble with the fitted values as one column.