diffuse: Diffusion simulation
In babeheim/kom:

Description Usage Arguments Details Author(s) Examples

View source: R/diffuse.r

Simulates diffusion of a binary trait through a population.

1	diffuse( init_list, pop_data, quiet=TRUE, cognition="additive" )

`init_list`	list of simulation parameters and conditions at initialization
`pop_data`	a database of individuals and households for the simulator to use
`quiet`	if FALSE, will print a message every time a simulated census is collected
`cognition`	specifies the basic model form of the probabilistic decision rule for each agent who is able to adopt the trait

This function will run a simple agent-based simulation of the trait diffusing within a specified population, and collect data on that population at periodic intervals that is returned as output.

Bret Beheim

  data(hort_village)

  init_list <- list(
    n_seed_individuals = 5,
    seed_network_location = "random",
    simulation_duration_years = 1,
    phi_radius = 500,
    baseline_probability = 1e-05,
    kin_network_effect = 5,
    town_distance_effect = 0,
    neighbor_effect = 5,
    wealth_effect = 5,
    observation_rate = 30
  )

  diffuse( init_list, hort_village, cognition="additive" )