simple_log_likelihood: Calculate the log-likelihood for an epidemic, up to a...

In BenjamenSimon/EpidemicR: Stochastic modelling and inference for epidemics.

Description

This function is used tp calculate the likelihood of a General Stochastic Epidemic, and brings together all the previously specified functions; prod_part, interval_intersect, and integral_part.

Usage

simple_log_likelihood(inf.times, rem.times, beta.mat)

Arguments

inf.times	A vector of the infection times of all individuals (Inf if not infected).
rem.times	A vector of the removal times of all infected individuals.
beta.mat	The infection rate matrix.

Value

Returns the value of the log likelihood, up to a constant of proportionality.

Examples

This function is utilised in the inference functions.

BenjamenSimon/EpidemicR documentation built on March 23, 2020, 11:03 p.m.