| init.net {EpiModel} | R Documentation |
Initial Conditions for Stochastic Network Models
Description
Sets the initial conditions for stochastic network models
simulated with netsim.
Usage
init.net(i.num, r.num, i.num.g2, r.num.g2, status.vector, infTime.vector, ...)
Arguments
i.num |
Number of initial infected persons. For two-group models, this is the number of initial group 1 infected persons. |
r.num |
Number of initial recovered persons. For two-group models, this
is the number of initial group 1 recovered persons. This parameter is
only used for the |
i.num.g2 |
Number of initial infected persons in group 2. This parameter is only used for two-group models. |
r.num.g2 |
Number of initial recovered persons in group 2. This
parameter is only used for two-group |
status.vector |
A vector of length equal to the size of the input
network, containing the status of each node. Setting status here
overrides any inputs passed in the |
infTime.vector |
A vector of length equal to the size of the input
network, containing the (historical) time of infection for each of
those nodes with a current status of |
... |
Additional initial conditions passed to model. |
Details
The initial conditions for a model solved with netsim should be
input into the init.net function. This function handles initial
conditions for both base models and new modules. For an overview of
specifying initial conditions across a variety of base network models,
consult the Basic Network Models
tutorials.
Value
An EpiModel object of class init.net.
See Also
Use param.net to specify model parameters and
control.net to specify the control settings. Run the
parameterized model with netsim.
Examples
# Example of using status.vector and infTime.vector together
n <- 100
status <- sample(c("s", "i"), size = n, replace = TRUE, prob = c(0.8, 0.2))
infTime <- rep(NA, n)
infTime[which(status == "i")] <- -rgeom(sum(status == "i"), prob = 0.01) + 2
init.net(status.vector = status, infTime.vector = infTime)