R: Respiratory Viral Infection Forecast Reporting

# Respiratory Viral Infection Forecast Reporting

## Documentation for package ‘ViroReportR’ version 1.0.4

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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