Function reference • aggregate.model

All functions

add_to_original_data(): Add the estimated fitted values back to the original

aggregate.model: aggregate.model package

calculate_identities(): Calculate values for identity/definition variables not available in Eurostat

check_config_table(): Check the configuration of the model contained in the config table

classify_variables(): Classify variables

clean_data(): Prepare the clean dataframe for modelling

determine_datacodes(): Determine which Eurostat datasets need to be downloaded

determine_eurocodes(): Determine which Eurostat variables need to be found

determine_variables(): Determine which model variables need to be found

diagnostics_model(): Creates a Summary of the Diagnostics of the Aggregate Model

dict: Dictionary for translating model variable names

download_edgar(): Download Edgar

download_eurostat(): Download Eurostat

estimate_module(): Estimate the specific module using indicator saturation

forecast_exogenous_values(): Internal function to forecast exogenous variables

forecast_identities(): An internal function to forecast identities within forecast_model

forecast_insample(): Forecast model insample to evaluate forecasting performance

forecast_model(): Forecast Aggregate model

forecast_sensitivity(): Evaluate the sensitivity of forecasts to varying exogenous values

forecast_setup_estimated_relationships(): Internal function to set-up the forecasting of estimated relationships

identify_module_data(): Identifies which variables are required for running the module

identity_module(): Performs computations for the identity/definition modules

load_locally(): Load Locally

load_or_download_variables(): Loads or downloads the necessary data for all modules

network(): Visualize dependence between modules

nowcasting(): Nowcast missing data for forecasting

plot(<aggmod.forecast>): Plot a Forecast Object of the Aggregate Model

present_model(): Present the results of the Aggregate Model in a Shiny Dashboard

print(<aggmod>): Print output of an Aggregate Model

run_model(): Runs the aggregate model

run_module(): Runs a module

run_shiny(): Creates and runs the Shiny App "shinyaggmodel"

sample_input: Sample Input for the Aggregate Model

strsplits(): unpack formulas

translate_variables(): Translate model variable names to Eurostat codes

update_data(): Updates the aggregate model dataset with fitted values