# Effects of External Conditions on Air Quality

## Documentation for package ‘ubair’ version 1.1.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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