sim_dynamic_sn: Simulation of dynamic network

In lwhittles/simdynet: simdynet project

Description

Simulation of dynamic network

Usage

sim_dynamic_sn(N = 10000, gamma = 1.8, k0 = 0.5, phi = 10000,
  n_infs = 0, beta = 1, psi = 1, sigma = 1, nu = 1, eta = 1,
  mu = 1, rho = 0, n_vax = 0, vax_strat = NA, t = 1,
  max.iter = 1e+06, burn.in = 0, record = TRUE, record_term = 1,
  record_lengths = TRUE)

Arguments

N	network size
gamma	exponent of power law distribution
k0	parameter controlling proportion of unpartnered
phi	parameter controlling relationship turnaround rate
n_infs	number of initially infected individuals
beta	rate of transmission per partnership
psi	proportion of infections becoming symptomatic
sigma	reciprocal of duration of incubation period
nu	reciprocal of duration of carriage
eta	rate of screening when asymptomatic
mu	reciprocal of time to seeking treatment
rho	reciprocal of time to recovery following treatment
n_vax	number of vaccinated individuals
vax_strat	vaccination strategy, can be either 'target' or 'random'
t	duration of outbreak simulation
max.iter	maximum number of Gillespie iterations
burn.in	burn-in period
record	whether or not to record degree distribution
record_term	observation window of the degree distribution
record_lengths	whether or not to record partnership durations

lwhittles/simdynet documentation built on May 5, 2019, 9:20 a.m.