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All functions

autoplot()
Autoplot a tsd object
combined_seasonal_output()
Compute seasonal onset and burden levels from seasonal time series observations.
consecutive_growth_warnings()
Create a tsd_growth_warning object to count consecutive significant observations
epi_calendar()
Determine Epidemiological Season
fit_growth_rate()
Fit a growth rate model to time series observations.
fit_percentiles()
Fits weighted observations to distribution and returns percentiles
generate_seasonal_data()
Generate Simulated Data of Seasonal Waves as a tsd object
historical_summary()
Summarises estimates like seasonal peak and onset from all available seasons
plot(<tsd>) plot(<tsd_onset>) plot(<tsd_onset_and_burden>) plot(<tsd_growth_warning>)
Create a complete 'ggplot' appropriate to a particular data type
predict(<tsd_onset>)
Predict Observations for Future Time Steps
seasonal_burden_levels()
Compute burden levels from seasonal time series observations of current season.
seasonal_onset()
Automated and Early Detection of Seasonal Epidemic Onset
summary(<tsd_burden_levels>)
Summary method for tsd_burden_levels objects
summary(<tsd_onset>)
Summary method for tsd_onset objects
to_time_series()
Create a tibble-like tsd (time-series data) object from observed data and corresponding dates.