MoNAn (version 1.1.0)

simulateMobilityNetworks: simulateMobilityNetworks

Description

Simulates mobility networks for given data, effects, and parameters. This function is mainly interesting to explore the behavior of the model or to do counter-factual simulations.

Usage

simulateMobilityNetworks(
  state,
  effects,
  parameters,
  allowLoops,
  burnin,
  thinning,
  nSimulations,
  cache = NULL
)
simulateDistributionNetworks(
  state,
  effects,
  parameters,
  allowLoops,
  burnin,
  thinning,
  nSimulations,
  cache = NULL
)
monanSimulate(
  state,
  effects,
  parameters,
  allowLoops,
  burnin,
  thinning,
  nSimulations,
  cache = NULL
)

Value

An object of class "sims.monan" with nSimulations entries, where each entry contains a further list with the state and the cache of the current simulation stored.

Arguments

state

An object of class "processState.monan" that contains all relevant information about nodesets, and covariates. Further, an edgelist of the dependent variable needs to be specified with the initial mobility network as starting value for the simulation. For a large enough burn-in, any initial mobility network is allowed.

effects

An object of class "effectsList.monan" that specifies the model.

parameters

The parameters associated with the effects that shall be used in the simulations.

allowLoops

Logical: can individuals/resources stay in their origin?

burnin

The number of simulation steps that are taken before the first draw of a network is taken. A number too small will mean the first draw is influenced by the initially specified network. A recommended value for the lower bound is 3 * n_Individuals * n_locations.

thinning

The number of simulation steps that are taken between two draws of a network. A recommended value for the lower bound is n_Individuals * n_locations.

nSimulations

The number of mobility networks to be simulated.

cache

Outdated parameter, no need to specify.

Examples

# \donttest{
# simulate a mobility network
# note that thinning and burn-in values are for this example only
# in real cases, choose values aprrox. times 10
mySimDN <- simulateMobilityNetworks(
  myState,
  myEffects,
  parameters = c(2, 1, 1.5, 0.1, -1, -0.5),
  allowLoops = TRUE,
  burnin = 450,
  thinning = 150,
  nSimulations = 10
)

mySimDN[[1]]
# }