Function reference
-
evaluate_model()
- Evaluate a Model for Forecasting Rts
-
compare_models()
- Compare forecasting models
-
compare_timeseries()
- Compare timeseries and forecast models
-
forecast_model()
- forecast Model Wrapper
-
forecast_rt()
- Fit and Forecast using a Model
-
forecast_cases()
- Forecasts Cases for a Rt Forecasts
-
forecast_cases_directly()
- Forecasts Cases Directly
-
iterative_rt_forecast()
- Iteratively Forecast
-
iterative_case_forecast()
- Iteratively Forecast Cases Using an Iterative Rt Forecast
-
iterative_direct_case_forecast()
- Iteratively forecast directly on cases
-
bsts_model()
- bsts Model Wrapper
-
fable_model()
- fable Model Wrapper
-
brms_model()
- brms Model Wrapper
-
forecastHybrid_model()
- forecastHybrid Model Wrapper
-
stackr_model()
- Stack Models According to CRPS
Predicting cases from reproduction numbers
Functions to for mapping reproduction number estimates to forecast cases
-
predict_cases()
- Predict cases for a single Rt sample forecasts
-
predict_current_cases()
- Predict cases for Rts based on observed data
-
draw_from_si_prob()
- Draw from the Serial Interval Probability Distribution
-
score_forecast()
- Score a Model Fit
-
score_case_forecast()
- Score a case forecast
-
summarise_forecast()
- Summarise Forecast Rts
-
summarise_case_forecast()
- Summarise Forecast Cases
-
summarise_scores()
- Summarise model forecasting scores
-
plot_forecast()
- Plot a Forecast
-
plot_compare_timeseries()
- Summary plots to compare timeseries and forecast models
-
plot_forecast_evaluation()
- Plot a Forecast
-
plot_scores()
- Plot forecast scores
-
example_obs_cases
- Example Observed Cases
-
example_obs_rts
- Example Observed Rts
-
example_serial_interval
- Example Serial Interval