simulate_infection_sample_times: Simulates infection time for one exposure time series based...

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

Description

This function takes a time series of exposures, exposure times, and infection detection times and returns a stochastic infection time that is linked to the given detection time. For more flexibility on returning exact infection times, use TBD.

Usage

simulate_infection_sample_times(exposure_ts, sample_times, hazard_risk, clr,
  lag = 0, debug = F)

Arguments

exposure_ts	The data.frame time series of exposure (must include a day and count name)
sample_times	The sampling days that infection would actually be observed
hazard_risk	The per time hazard risk for the hazard function
clr	The exponential pathogen clearance rate
lag	The minimum amount of time between infection and when it could be detected (lag = 0 means infection is instantly detectable)

Value

An infection time that matches a time given in sample_times

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