Create a list of offspring distributions to run the ringbp model
offspring_opts(community, isolated, asymptomatic = community)a function: a random number generating function
that samples from the community (non-isolated) offspring distribution,
the function accepts a single integer argument specifying the number
of times to sample the offspring distribution (i.e. the length of the
function output)
a function: a random number generating function that
samples from the isolated cases offspring distribution, the function
accepts a single integer argument specifying the number of times to
sample the offspring distribution (i.e. the length of the function
output)
a function: a random number generating function
that samples from the sub-clinical non-isolated cases offspring
distribution, the function accepts a single integer argument
specifying the number of times to sample the offspring distribution (i.e.
the length of the function output). Will be specified as the same as
the community offspring distribution if left unspecified
A list with class <ringbp_offspring_opts>.
If asymptomatic is not provided it will be specified as the same as
community meaning transmission of subclinical cases to be equal to
clinical cases unless specified otherwise.
# Negative binomial offspring distributions with:
# Community R0 of 2.5 and dispersion of 0.16
# Isolated R0 of 0.5 and dispersion of 1
# Asymptomatic R0 of 2.5 and dispersion of 0.16
offspring_opts(
community = \(n) rnbinom(n = n, mu = 2.5, size = 0.16),
isolated = \(n) rnbinom(n = n, mu = 0.5, size = 1),
asymptomatic = \(n) rnbinom(n = n, mu = 2.5, size = 0.16)
)
#> $community
#> function (n)
#> rnbinom(n = n, mu = 2.5, size = 0.16)
#> <environment: 0x55d9c625d540>
#>
#> $isolated
#> function (n)
#> rnbinom(n = n, mu = 0.5, size = 1)
#> <environment: 0x55d9c625d540>
#>
#> $asymptomatic
#> function (n)
#> rnbinom(n = n, mu = 2.5, size = 0.16)
#> <environment: 0x55d9c625d540>
#>
#> attr(,"class")
#> [1] "ringbp_offspring_opts"