This option assumes a fixed generation time distribution for the
renewal model in EpiSewer
.
Usage
generation_dist_assume(generation_dist = NULL, modeldata = modeldata_init())
Arguments
- generation_dist
A numeric vector representing a discrete generation time distribution, starting with the probability for a generation time of 1 day, 2 days, 3 days, and so on (a generation time of 0 days is excluded).
- modeldata
A
modeldata
object to which the above model specifications should be added. Default is an empty model given bymodeldata_init()
. Can also be an already partly specified model returned by otherEpiSewer
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
).
Details
The generation time distribution here refers to the intrinsic distribution of the time between infection of a primary case and infection of its secondary cases. It is disease-specific and typically obtained from literature.
See also
Helpers to discretize continuous probability distributions:
get_discrete_gamma()
,
get_discrete_gamma_shifted()
,
get_discrete_lognormal()