fit_lin function

Fits epidemic models using data linearization

Fits epidemic models (Exponential, Monomolecular, Logistic and Gompertz) to data using data linearization

fit_lin(time,y)

Arguments

• time: Numeric vector which refers to the time steps in the epidemics
• y: Numeric vector which refers to the disease intensity

Author(s)

Kaique dos S. Alves

Examples

set.seed(1)
epi1 <- sim_logistic(N = 30,
                     y0 = 0.01,
                     dt = 5,
                     r = 0.3,
                     alpha = 0.2,
                     n = 4)
data = data.frame(time =  epi1[,2], y = epi1[,4])
fit_lin( time = data$time, y =  data$y)