fit_lin function

Fits epidemic models using data linearization

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)
  • Maintainer: Kaique dos S. Alves
  • License: MIT + file LICENSE
  • Last published: 2021-06-14