log_likelihood_fun: Calculates the likelihood of the exposure data

In bryanmayer/multdr: Simulating and fitting multiple exposure infectious disease dose-response models

Description

Calculates the likelihood of the exposure data

Usage

log_likelihood_fun(infected, exposure_series, exposure_times, end_time,
  hazard_risk, clr = 2, censor_start = NA)

Arguments

exposure_series	The vector of repeated pathogen exposure values, should be pre-processed
exposure_times	The times of exposures
end_time	Final time: either censor time (infected = 0) or infection time (infected = 1). If there is a lag, process it that first.
hazard_risk	The per time risk of exposure during persistence
clr	The clearance rate of exposure
censor_start	Start of the interval censored data (end_time is the end)

Value

Returns a log survival likelihood (see calc_risk_mult) for uninfected and an interval censored likelihood (see calc_censor_likelihood) for infected

bryanmayer/multdr documentation built on May 13, 2019, 8:11 a.m.