Package index • osem

All functions

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

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

check_frequencies(): An internal function that checks the frequencies of the model values

classify_variables(): Classify variables

clean_data(): Prepare the clean dataframe for modelling

create_dictionaries(): Internal function to create the dictionaries This script contains a separate function called generate_dictionary_script. This can be used to read in a modified dictionary and will then give out the code to insert into this function.

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

diagnostics_model(): OSEM Diagnostics

dict: Dictionary for translating model variable names

dict_edgar: Dictionary for translating EDGAR model variable names

dict_eurostat: Dictionary for translating Eurostat model variable names

dict_identities: Dictionary for economic model identities

dict_imf: Dictionary for translating IMF model variable names

dict_statcan: Dictionary for translating StatCan model variable names

download_edgar(): Download Edgar

download_eurostat(): Download Eurostat

download_imf(): Download IMF

download_statcan(): Download StatCan

estimate_module(): Estimate the specific module using indicator saturation

forecast_comparison(): Creates baseline forecasts for comparison with OSEM

forecast_comparison2(): Creates baseline forecasts for comparison with OSEM

forecast_exogenous_values(): Internal function to forecast exogenous variables

forecast_extract_info(): Extract relevant information from the osem model object for forecasting and nowcasting

forecast_failure(): Determine the number of Forecast Failures in Insample Forecasting

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

forecast_insample(): Forecast OSEM Insample

forecast_model(): Forecast OSEM 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

model_table(): OSEM Model Table

network(): Visualize dependence between modules

nowcast_setup_estimated_relationships(): Internal function to set-up the nowcasting of estimated relationships

nowcasting(): Nowcast missing data for forecasting

osem: osem package

plot(<osem>): Plot OSEM Model

plot(<osem.forecast>): Plot OSEM Forecast

plot(<osem.forecast.insample>): Plot OSEM Insample Forecast

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

print(<osem>): Print output of an OSEM Model

print(<osem.forecast>): Print output of an OSEM Forecast

print(<osem.forecast.insample>): Print output of an OSEM Insample Forecast

rmsfe(): Root Mean Squared Forecast Error

run_isat(): Internal function to run and prepare isat estimation

run_model(): Runs the OSEM model

run_module(): Runs a module

run_shiny(): Creates and runs the OSEM Shiny App

sample_input: Sample Input for the OSEM Model

strsplits(): unpack formulas

super.exogeneity(): Super Exogeneity (Parameter Invariance) Test

translate_variables(): Translate model variable names to Eurostat codes

update_data(): Updates the osem dataset with fitted values