Respiratory Viral Infection Forecast Reporting


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Documentation for package ‘ViroReportR’ version 1.0.4

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clean_sample_data Clean and validate case count data for EpiEstim
create_quantiles summarise a data frame 'd' by groups along a 'variable'
current_forecast_text Print out text output for ViroReportR report detailing current number of case visits, last value of Rt and corresponding intervals
fit_epiestim_model fit_epiestim_model - Function to estimate the reproduction number of an epidemic
forecast_metrics Extract current forecast metrics: forecast prediction, percentile interval and Rt value
generate_forecast Forecast daily epidemic cases using EpiEstim
generate_forecast_report Generate Viral Respiratory Forecast Report
generate_validation Validate forecast performance over multiple time windows
generate_validation_metric Compute Forecast Validation Metrics (SMAPE & MASE)
get_aggregated_data Extract Aggregated Weekly Generic Data
plot_rt Plot Mean Rt with time index (dates)
plot_validation Plot a ribbon plot with each time horizon predictions against true values for validation
project_epiestim_model Extract daily forecast samples
simulate_data Simulate Daily Virus Incidence Data