simulate_SEM: Simulate trajectories of the Stochastic SIR and SEIR...

In rmorsomme/PDSIR: Data-augmentation Marko chain Monte Carlo for Fitting the Stochastic SIR Model to Incidence Counts

Simulate trajectories of the Stochastic SIR and SEIR processes

Description

Also computes additional statistics such as MLEs and summary statistics

Usage

simulate_SEM(
  S0 = 1000,
  I0 = 10,
  t_end = 6,
  theta = list(R0 = 2.5, gamma = 1, lambda = 1, shape = 1),
  iota_dist = "exponential",
  gener = FALSE,
  b = 1/2
)

Arguments

S0	intial exposed population size
I0	intial exposed population size
t_end	end time of the simulation period
theta	parameters
iota_dist	c("exponential", "weibull"); distribution of the infection period
gener	logical; whether to use the generalized SIR of Severo (1972)
b	parameter of the generalized SIR

Value

a list with all types of useful objects

rmorsomme/PDSIR documentation built on April 27, 2023, 2:56 p.m.