log_likelihood_cases: Returns log likelihood of the predicted number of cases given...

In MJomaba/flu-evidence-synthesis: Flu Evidence Synthesis: Analysing Effectiveness of Vaccine Strategies

Returns log likelihood of the predicted number of cases given the data

Description

The model results in a prediction for the number of new cases in a certain age group and for a certain week. This function sum the log likelihood for the predicted cases for each week and age group given the data on reported Influenza Like Illnesses and confirmed samples.

Usage

log_likelihood_cases(epsilon, psi, predicted, population_size, ili_cases,
  ili_monitored, confirmed_positive, confirmed_samples, abs_err = 1e-05)

Arguments

epsilon	Parameter for the probability distribution by age group
psi	Parameter for the probability distribution
predicted	Number of cases predicted by your model for each week and age group
population_size	The total population size in the age groups
ili_cases	The number of Influenza Like Illness cases by week and age group
ili_monitored	The size of the population monitored for ILI by week and age group
confirmed_positive	The number of samples positive for the Influenza strain by week and age group
confirmed_samples	Number of samples tested for the Influenza strain by week and age group '
abs_err	Absolute error of the likelihood approximation. By default a value of 1e-5 is used, lower is more precise, but slower.

MJomaba/flu-evidence-synthesis documentation built on April 26, 2022, 11:12 p.m.