Effects of External Conditions on Air Quality


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Documentation for package ‘ubair’ version 1.1.0

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calc_performance_metrics Calculates performance metrics of a business-as-usual model
calc_summary_statistics Calculates summary statistics for predictions and true values
clean_data Clean and Optionally Aggregate Environmental Data
copy_default_params Copy Default Parameters File
detrend Removes trend from data
estimate_effect_size Estimates size of the external effect
get_meteo_available Get Available Meteorological Components
load_params Load Parameters from YAML File
load_uba_data_from_dir Load UBA Data from Directory
mock_env_data Mock Environmental Data
plot_counterfactual Prepare Plot Data and Plot Counterfactuals
plot_station_measurements Descriptive plot of daily time series data
prepare_data_for_modelling Prepare Data for Training a model
rescale_predictions Rescale predictions to original scale.
retrend_predictions Restors the trend in the prediction
run_counterfactual Full counterfactual simulation run
run_dynamic_regression Run the dynamic regression model
run_fnn Train a Feedforward Neural Network (FNN) in a Counterfactual Scenario.
run_lightgbm Run gradient boosting model with lightgbm
run_rf Run random forest model with ranger
sample_data_DESN025 Environmental Data for Modelling from station DESN025 in Leipzig-Mitte.
scale_data Standardize Training and Application Data
split_data_counterfactual Split Data into Training and Application Datasets