| sim_exponential {epifitter} | R Documentation | 
Simulate an epidemic using the Exponential model
Description
Simulate a stochastic epidemic curve using the Exponential model.
Usage
sim_exponential(N = 10,dt = 1, y0 = 0.01, r, n,  alpha = 0.2)
Arguments
N | 
 Total time course of the epidemic  | 
dt | 
 Time step  | 
y0 | 
 Initial inoculum or initial disease intensity  | 
r | 
 Infection rate  | 
n | 
 Number or replicates or sample size for each time step  | 
alpha | 
 Variation parameter. stands for the variation for the replicates for each time step. The standard deviation is calculated as sd = alpha * y * (1 - y), being y the disease intensity for each time step.  | 
Value
rep | 
 Replicates  | 
time | 
 Time after epidemic start  | 
y | 
 Disease intensity  | 
random_y | 
 Disease intensity after applying the random   | 
Examples
sim_exponential(N = 30, y0 = 0.01,dt = 5, r = 0.1, alpha = 0.5, n = 4)
[Package epifitter version 0.3.0 Index]