Sets the controls for deterministic compartmental models
simulated with dcm.
control.dcm(
type,
nsteps,
dt = 1,
odemethod = "rk4",
dede = FALSE,
new.mod = NULL,
sens.param = TRUE,
print.mod = FALSE,
verbose = FALSE,
...
)An EpiModel object of class control.dcm.
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.
Number of time steps to solve the model over or vector of times to solve the model over. If the number of time steps, then this must be a positive integer of length 1.
Time unit for model solutions, with the default of 1. Model solutions for fractional time steps may be obtained by setting this to a number between 0 and 1.
Ordinary differential equation (ODE) integration method,
with the default of the "Runge-Kutta 4" method (see deSolve::ode
for other options).
If TRUE, use the delayed differential equation solver,
which allows for time-lagged variables.
If not running a base model type, a function with a new model to be simulated (see details).
If TRUE, evaluate arguments in parameters with
length greater than 1 as sensitivity analyses, with one model run per
value of the parameter. If FALSE, one model will be run with
parameters of arbitrary length (the model may error unless the model
function is designed to accomodate parameter vectors).
If TRUE, print the model form to the console.
If TRUE, print model progress to the console.
additional control settings passed to model.
The form of the model function for base models may be displayed with the
print.mod argument set to TRUE. In this case, the model will
not be run. These model forms may be used as templates to write original
model functions.
These new models may be input and solved with dcm using the
new.mod argument, which requires as input a model function.
control.dcm sets the required control settings for any deterministic
compartmental models solved with the dcm function. Controls are
required for both base model types and original models. For all base models,
the type argument is a necessary parameter and it has no default.
Use param.dcm to specify model parameters and
init.dcm to specify the initial conditions. Run the
parameterized model with dcm.