run_simulation: Simulate nsim simulations of an epidemic on a dataset of...

In yairgoldy/sl4hm: Simulated likelihood for modelling household epidemics

Description

Simulate nsim simulations of an epidemic on a dataset of households

Usage

run_simulation(
  nsim = 1,
  family_structure_data,
  beta_aa,
  gamma_val,
  delta_val,
  P = NULL,
  T_max = 45,
  future_plan = "sequential",
  dictionary_path = NULL
)

Arguments

nsim	number of simulation to run
family_structure_data	dataset of families including the number of adults, number of children, and the index case (see create_family_structure_data)
beta_aa	proabilty that an adult will infect an adult (must be appear in the dictionary)
gamma_val	relative susceptibility of children to adults (must be appear in the dictionary)
delta_val	relative infectivity of children to adults (must be appear in the dictionary)
P	a vector of generation time distribution (default is generated by 'load_P“)
T_max	the length of the epidemic within the family
future_plan	the plan for using the future package (default is sequential)
dictionary_path	path to the folder that contain the dictionaries

Value

a tibble with the maximum likelihood for each simulated dataset

See Also

load_P create_family_structure_data

yairgoldy/sl4hm documentation built on Feb. 3, 2021, 5:45 p.m.