Automated and Early Detection of Seasonal Epidemic Onset and Burden Levels

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Documentation for package ‘aedseo’ version 0.3.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

autoplot	Autoplot a 'tsd' object
autoplot.tsd	Autoplot a 'tsd' object
autoplot.tsd_growth_warning	Autoplot a 'tsd' object
autoplot.tsd_onset	Autoplot a 'tsd' object
autoplot.tsd_onset_and_burden	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	Create a complete 'ggplot' appropriate to a particular data type
plot.tsd	Create a complete 'ggplot' appropriate to a particular data type
plot.tsd_growth_warning	Create a complete 'ggplot' appropriate to a particular data type
plot.tsd_onset	Create a complete 'ggplot' appropriate to a particular data type
plot.tsd_onset_and_burden	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.