het.run: Generate an SIR Heterogeneous Mixing Sample

In ICI3D/ici3d-pkg: Materials for the International Clinics on Infectious Disease Dynamics and Data (ICI3D) Workshops

Generate an SIR Heterogeneous Mixing Sample

Description

Generate an SIR Heterogeneous Mixing Sample

Usage

het.run(mxdst, tmax, gmma, rho = 0, seed = NULL)

Arguments

mxdst	A numeric vector of contact rates, as produced by [het.population()].
tmax	The maximum time to simulate until
gmma	The mean recovery rate (I -> R transition rate)
rho	The mean immunity loss rate (R -> S transition rate)
seed	Random number seed

Value

A data.table

See Also

Other heterogeneity: het.hist(), het.population(), sample_pair(), sample_until()

Examples

het.run(
  mxdst = het.population(n = 100, beta.mean = 2, beta.var = 0.001),
  tmax = 10, gmma = 1
)

ICI3D/ici3d-pkg documentation built on July 2, 2023, 1:59 p.m.