branching_model: Branching process model. Random simulation according to the...

In RussellXu/rtestimate: Estimation Of Reproductive Number

Description

Branching process model. Random simulation according to the required parameters

Usage

branching_model(
  num.initial.cases = NULL,
  prop.ascertain = NULL,
  cap_max_days = NULL,
  cap_cases = NULL,
  r0isolated = NULL,
  r0community = NULL,
  disp.iso = NULL,
  disp.com = NULL,
  k = NULL,
  delay_shape = NULL,
  delay_scale = NULL,
  prop.asym = NULL,
  quarantine = NULL
)

Arguments

num.initial.cases	the number of initial cases
prop.ascertain	the proportion of transmission that occurred before symptom onset
cap_max_days	maximum times
cap_cases	maximum cases
r0isolated	basic reproduction number during isolation period
r0community	basic reproduction number during non-isolation period
disp.iso	dispersion parameter during isolation period
disp.com	dispersion parameter during non-isloation period
delay_shape	the serial interval distribution shape parameter of the delay from symptom onset to isolation
delay_scale	the serial interval distribution scale parameter of the delay from symptom onset to isolation
prop.asym	the proportion of asymptomatic
quarantine	logical value

Value

dayly_cases

See Also

Other branching process: Re_estimate(), branching_setup(), branching_simulation(), branching_step(), detect_extinct(), dist_setup(), extinct_prob(), inf_fn()

RussellXu/rtestimate documentation built on Jan. 1, 2022, 7:18 p.m.