tests/testthat/_snaps/probability_epidemic.md

In superspreading: Understand Individual-Level Variation in Infectious Disease Transmission

probability_epidemic works for R > 1

Code
  probability_epidemic(R = 1.5, k = 0.5, num_init_infect = 1)
Output
  [1] 0.2324081

Code
  probability_extinct(R = 1.5, k = 0.5, num_init_infect = 1)
Output
  [1] 0.7675919

probability_epidemic works for k == Inf

Code
  probability_epidemic(R = 1.5, k = Inf, num_init_infect = 1)
Output
  [1] 0.5828074

probability_epidemic works with individual-level control

Code
  probability_epidemic(R = 1.5, k = 0.5, num_init_infect = 1, ind_control = 0.2)
Output
  [1] 0.09070598

probability_epidemic works with population-level control

Code
  probability_epidemic(R = 1.5, k = 0.5, num_init_infect = 1, pop_control = 0.2)
Output
  [1] 0.1133825

probability_epidemic works with both control measures

Code
  probability_epidemic(R = 1.5, k = 0.5, num_init_infect = 1, ind_control = 0.1,
    pop_control = 0.1)
Output
  [1] 0.1084924

probability_epidemic works with

Code
  probability_epidemic(num_init_infect = 1, offspring_dist = od)
Output
  [1] 0.1198705

probability_epidemic works with grid

Code
  probability_epidemic(R = 1.5, k = 1, num_init_infect = 5, ind_control = 0.1,
    pop_control = 0.1, fit_method = "grid")
Output
  [1] 0.5792928

probability_epidemic works with spliced list

Code
  probability_epidemic(R = 1.5, k = 1, num_init_infect = 5, ind_control = 0.1,
    pop_control = 0.1, !!!list(fit_method = "grid"))
Output
  [1] 0.5792928

superspreading documentation built on April 4, 2025, 3:18 a.m.