Assume a shedding load distribution

This option assumes a fixed shedding load distribution for the shedding model in EpiSewer.

Usage

shedding_dist_assume(
  shedding_dist = NULL,
  shedding_reference = NULL,
  modeldata = modeldata_init()
)

Arguments

shedding_dist

A numeric vector representing a discrete shedding load distribution, with elements describing the share of load shed 0 days, 1 day, 2 days, and so on after the start of shedding.

shedding_reference

Is the shedding load distribution relative to the day of "infection" or the day of "symptom_onset"? This is important because shedding load distributions provided in the literature are sometimes by days since infection and sometimes by days since symptom onset. If shedding_reference="symptom_onset", EpiSewer also needs information about the incubation period distribution (see incubation_dist_assume()).

modeldata

A modeldata object to which the above model specifications should be added. Default is an empty model given by modeldata_init(). Can also be an already partly specified model returned by other EpiSewer modeling functions.

Value

A modeldata object containing data and specifications of the model to be fitted. Can be passed on to other EpiSewer modeling functions to add further data and model specifications.

The modeldata object also includes information about parameter initialization (init), meta data (.metainfo), and checks to be performed before model fitting (.checks).

See also

Helpers to discretize continuous probability distributions: get_discrete_gamma(), get_discrete_lognormal()