An R package for causal inference using Bayesian structural time-series models | What does the package do? | How does it work? | What assumptions does the model make? | How is the package structured? | 1. Installing the package | 2. Creating an example dataset | 3. Running an analysis | 4. Plotting the results | 5. Working with dates and times | 6. Printing a summary table | 7. Adjusting the model | Available options | 8. Using a custom model | 9. FAQ | How do I cite the package in my work? | How can I check whether the model assumptions are fulfilled? | May the data contain missing values? | How can I customize the default plot? | How can I change the font size in the plot? | How can I obtain 90% intervals instead of 95% intervals? | Which predictor variables were used in the model? | 10. Further resources | Literature | Discussion forum

Background | Bayesian Synthetic Control with Covariates | Fit | Visualize the synthetic controls for each treated unit | Visualize the treatment effect