R: Statistical Modelling for Infectious Disease Management

# Statistical Modelling for Infectious Disease Management

## Documentation for package ‘smidm’ version 1.0

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

## Help Pages

calculate_likelihood_negative_tests | Overall likelihood
calculate_likelihood_negative_tests_k | Likelihood K
calculate_posterior_no_infections | Negative analysis probability
calculate_prior_infections | A priori probability of further Infections
generate_data_extended | Generate data extended
get_expected_total_infections | Expected number of total symptomatic infections
get_incubation_day_distribution | Vector of day-specific probabilities of disease outbreak
get_infection_density | Dataframe with dates and probability of infection
get_infectiousness_density | Dataframe with dates and infectiousness probability
get_misc_infection_density | Dataframe with dates and probability of infection
get_serial_interval_density | Dataframe with dates and contact symptom begin probability
get_test_sensitivities | Generate info
predict_future_infections | Prediction of future infections per day
p_onePrimaryMore | One more primary a priori probability