Package index • diseasenowcasting

All functions

aggregate_backtest_summary(): aggregate_backtest_summary

AR() MA(): Control the autorregresive and moving average components

backtest(): Backtest

backtest_metrics(): backtest_metrics

calc_ape(): calc_ape

calc_mae(): calc_mae

calc_quantile_scores(): calc_quantile_scores

calc_rmse(): calc_rmse

denguedat: denguedat: Dengue fever individual-level reporting data from Puerto Rico

get_quantile_metrics(): get_quantile_metrics

infer_start_date() infer_end_date(): Infer the dates for backtesting

is_weekday(): Check whether a date is a weekday vs weekend

mpoxdat: mpoxdat: Mpox reporting data from the 2022 New York City outbreak

nowcast(): Nowcasting

plot(<backtest_metrics>): plot.backtest_metrics

plot(<nowcaster>): Plot your nowcast

preprocess_dates(): Preprocess the dates to create a covariate matrix

preprocess_for_nowcast(): Preprocess data.frame for generating a nowcast

print(<nowcaster>): Print a nowcast object

print(<temporal_effect>): Print temporal effects

random_priors(): Function to randomly set the priors

set_priors(): Get nowcast priors not controlling by distribution

simulate_disease(): Simulate a process

summary(<backtest_metrics>): Makes a summary of your backtest_metrics() object

summary(<nowcaster>): Makes a summary of your nowcast

temporal_effects(): Temporal effects

update(<nowcaster>): Update a nowcast object