egf_model function

Define a Top Level Nonlinear Model

Sets flags defining a top level nonlinear model of epidemic growth to be estimated by egf.

egf_model(curve = c("logistic", "richards", "exponential",
                    "subexponential", "gompertz"),
          excess = FALSE,
          family = c("nbinom", "pois"),
          day_of_week = FALSE)

Arguments

• curve: a character string specifying a model for expected cumulative incidence as a function of time.
• excess: a logical flag. If TRUE, then a constant baseline mortality rate is estimated.
• family: a character string specifying a family of discrete probability distributions assigned to observations, which are the first order differences of observed cumulative incidence.
• day_of_week: an integer flag. If positive, then day of week effects are estimated as offsets relative to the indicated day of week (1=Sunday, 2=Monday, and so on).

Returns

A list inheriting from class egf_model containing the validated arguments.

See Also

simulate.egf_model.

Examples

model <- egf_model()
str(model)