control.net: Control Settings for Stochastic Network Models
In EpiModel: Mathematical Modeling of Infectious Disease Dynamics

Description Usage Arguments Details The attr.rules Argument New Modules See Also

Sets the controls for stochastic network models simulated with netsim.

control.net(
  type,
  nsteps,
  start = 1,
  nsims = 1,
  ncores = 1,
  resimulate.network = FALSE,
  tergmLite = FALSE,
  cumulative.edgelist = FALSE,
  truncate.el.cuml = 0,
  attr.rules,
  epi.by,
  initialize.FUN = initialize.net,
  resim_nets.FUN = resim_nets,
  infection.FUN = NULL,
  recovery.FUN = NULL,
  departures.FUN = NULL,
  arrivals.FUN = NULL,
  nwupdate.FUN = nwupdate.net,
  prevalence.FUN = prevalence.net,
  verbose.FUN = verbose.net,
  module.order = NULL,
  save.nwstats = TRUE,
  nwstats.formula = "formation",
  save.transmat = TRUE,
  save.network,
  save.other,
  verbose = TRUE,
  verbose.int = 1,
  skip.check = FALSE,
  raw.output = FALSE,
  tergmLite.track.duration = FALSE,
  set.control.ergm = control.simulate.formula(MCMC.burnin = 2e+05),
  set.control.stergm = control.simulate.network(),
  ...
)

`type`	Disease type to be modeled, with the choice of `"SI"` for Susceptible-Infected diseases, `"SIR"` for Susceptible-Infected-Recovered diseases, and `"SIS"` for Susceptible-Infected-Susceptible diseases.
`nsteps`	Number of time steps to simulate the model over. This must be a positive integer that is equal to the final step of a simulation. If simulation is restarted with `start` argument, this number must be at least one greater than that argument's value.
`start`	For models with network resimulation , time point to start up simulation. For restarted simulations, this must be one greater than the final time step in the prior simulation and must be less than the value in `nsteps`.
`nsims`	The total number of disease simulations.
`ncores`	Number of processor cores to run multiple simulations on, using the `foreach` and `doParallel` implementations.
`resimulate.network`	If `TRUE`, resimulate the network at each time step. This is required when the epidemic or demographic processes impact the network structure (e.g., vital dynamics).
`tergmLite`	Logical indicating usage of either `tergm` (`tergmLite = FALSE`), or `tergmLite` (`tergmLite = TRUE`). Default of `FALSE`.
`cumulative.edgelist`	If `TRUE`, calculates a cumulative edgelist within the network simulation module. This is used when tergmLite is used and the entire networkDynamic object is not used.
`truncate.el.cuml`	Number of time steps of the cumulative edgelist to retain. See help file for `update_cumulative_edgelist` for options.
`attr.rules`	A list containing the rules for setting the attributes of incoming nodes, with one list element per attribute to be set (see details below).
`epi.by`	A character vector of length 1 containing a nodal attribute for which subgroup epidemic prevalences should be calculated. This nodal attribute must be contained in the network model formation formula, otherwise it is ignored.
`initialize.FUN`	Module to initialize the model at time 1, with the default function of `initialize.net`.
`resim_nets.FUN`	Module to resimulate the network at each time step, with the default function of `resim_nets`.
`infection.FUN`	Module to simulate disease infection, with the default function of `infection.net`.
`recovery.FUN`	Module to simulate disease recovery, with the default function of `recovery.net`.
`departures.FUN`	Module to simulate departure or exit, with the default function of `departures.net`.
`arrivals.FUN`	Module to simulate arrivals or entries, with the default function of `arrivals.net`.
`nwupdate.FUN`	Module to handle updating of network structure and nodal attributes due to exogenous epidemic model processes, with the default function of `nwupdate.net`.
`prevalence.FUN`	Module to calculate disease prevalence at each time step, with the default function of `prevalence.net`.
`verbose.FUN`	Module to print simulation progress to screen, with the default function of `verbose.net`.
`module.order`	A character vector of module names that lists modules the order in which they should be evaluated within each time step. If `NULL`, the modules will be evaluated as follows: first any new modules supplied through `...` in the order in which they are listed, then the built-in modules in their order of the function listing. The `initialize.FUN` will always be run first and the `verbose.FUN` always last.
`save.nwstats`	If `TRUE`, save network statistics in a data frame. The statistics to be saved are specified in the `nwstats.formula` argument.
`nwstats.formula`	A right-hand sided ERGM formula that includes network statistics of interest, with the default to the formation formula terms.
`save.transmat`	If `TRUE`, complete transmission matrix is saved at simulation end. Default of `TRUE`.
`save.network`	If `TRUE`, networkDynamic/network object is saved at simulation end. Implicit reset to `FALSE` if `tergmLite = TRUE` (because network history not saved with tL).
`save.other`	A vector of elements on the `dat` master data list to save out after each simulation. One example for base models is the attribute list, "attr", at the final time step.
`verbose`	If `TRUE`, print model progress to the console.
`verbose.int`	Time step interval for printing progress to console, where 0 prints completion status of entire simulation and positive integer `x` prints progress after each `x` time steps. The default is to print progress after each time step.
`skip.check`	If `TRUE`, skips the default error checking for the structure and consistency of the parameter values, initial conditions, and control settings before running base epidemic models. Setting this to `FALSE` is recommended when running models with new modules specified.
`raw.output`	If `TRUE`, `netsim` will output a list of nestsim data (one per simulation) instead of a formatted `netsim` object.
`tergmLite.track.duration`	logical; to track duration information (`time` and `lasttoggle`) for `tergm` models in `tergmLite` simulations. If `TRUE`, the `time` and `lasttoggle` values are initialized from the network attributes of the networks passed to `init_tergmLite`, with `time` defaulting to `0` and `lasttoggle` defaulting to all `lasttoggle` times unspecified (effectively `-INT_MAX/2`).
`set.control.ergm`	Control arguments passed to `ergm`'s `.simulate_formula.network`.
`set.control.stergm`	Control arguments passed to `tergm`'s `simulate.network`. See the help file for `netdx` for details and examples on specifying this parameter.
`...`	Additional control settings passed to model.

control.net sets the required control settings for any network model solved with the netsim function. Controls are required for both base model types and when passing original process modules. For an overview of control settings for base models, consult the Basic Network Models tutorials. For all base models, the type argument is a necessary parameter and it has no default.

The attr.rules parameter is used to specify the rules for how nodal attribute values for incoming nodes should be set. These rules are only necessary for models in which there are incoming nodes (i.e., arrivals) There are three rules available for each attribute value:

"current": new nodes will be assigned this attribute in proportion to the distribution of that attribute among existing nodes at that current time step.
"t1": new nodes will be assigned this attribute in proportion to the distribution of that attribute among nodes at time 1 (that is, the proportions set in the original network for netest).
<Value>: all new nodes will be assigned this specific value, with no variation.

For example, the rules list attr.rules = list(race = "t1", sex = "current", status = "s") specifies how the race, sex, and status attributes should be set for incoming nodes. By default, the rule is "current" for all attributes except status, in which case it is "s" (that is, all incoming nodes are susceptible).

Base network models use a set of module functions that specify how the individual nodes in the network are subjected to infection, recovery, demographics, and other processes. Core modules are those listed in the .FUN arguments. For each module, there is a default function used in the simulation. The default infection module, for example, is contained in the infection.net function.

For original models, one may substitute replacement module functions for any of the default functions. New modules may be added to the workflow at each time step by passing a module function via the ... argument. Consult the New Network Models tutorials. One may remove existing modules, such as arrivals.FUN, from the workflow by setting the parameter value for that argument to NULL.

Use param.net to specify model parameters and init.net to specify the initial conditions. Run the parameterized model with netsim.