Create a list of configuration settings for some details of sim_linelist()
Source: R/create_config.R
create_config.Rd
Create a list of configuration settings for some details of sim_linelist()
Arguments
- ...
<
dynamic-dots
> Named elements to replace default settings. Only if names match exactly are elements replaced, otherwise the function errors.
Value
A list of settings for sim_linelist()
Details
The config
argument in sim_linelist()
controls the small details
around time windows around infections (time of first contact and last
contact with infector), and the distribution of the Cycle threshold (Ct)
value from a Real-time PCR or quantitative PCR (qPCR) for confirmed
cases, the network effect in the simulation, and if there is a time-varying
death risk.
Accepted arguments and their defaults are:
last_contact_distribution = "pois"
last_contact_distribution_params = c(lambda = 3)
first_contact_distribution = "pois"
first_contact_distribution_params = c(lambda = 3)
ct_distribution = "norm"
ct_distribution_params = c(mean = 25, sd = 2)
network = "adjusted"
time_varying_death_risk = NULL
These parameters do not warrant their own arguments in
sim_linelist()
as they rarely need to be changed from their default
setting. Therefore it is not worth increasing the number of sim_linelist()
arguments to accommodate these and the config
argument keeps the function
signature simpler and more readable.
The accepted distributions are:
last_contact_distribution = c("pois", "geom")
first_contact_distribution = c("pois", "geom")
ct_distribution = c("norm", "lnorm")
The network
option controls whether to sample contacts from a adjusted or
unadjusted contact distribution. Adjusted (default) sampling uses
\(q(n) \sim (n + 1)p(n + 1)\) where \(p(n)\) is the probability
density function of a distribution, e.g., Poisson or Negative binomial.
Unadjusted (network = "unadjusted"
) instead samples contacts directly from
a probability distribution \(p(n)\).
Examples
# example with default configuration
create_config()
#> $last_contact_distribution
#> [1] "pois"
#>
#> $last_contact_distribution_params
#> lambda
#> 3
#>
#> $first_contact_distribution
#> [1] "pois"
#>
#> $first_contact_distribution_params
#> lambda
#> 3
#>
#> $ct_distribution
#> [1] "norm"
#>
#> $ct_distribution_params
#> mean sd
#> 25 2
#>
#> $network
#> [1] "adjusted"
#>
#> $time_varying_death_risk
#> NULL
#>
# example with customised Ct distribution
create_config(
ct_distribution = "lnorm",
ct_distribution_params = c(meanlog = 2, sdlog = 1)
)
#> $last_contact_distribution
#> [1] "pois"
#>
#> $last_contact_distribution_params
#> lambda
#> 3
#>
#> $first_contact_distribution
#> [1] "pois"
#>
#> $first_contact_distribution_params
#> lambda
#> 3
#>
#> $ct_distribution
#> [1] "lnorm"
#>
#> $ct_distribution_params
#> meanlog sdlog
#> 2 1
#>
#> $network
#> [1] "adjusted"
#>
#> $time_varying_death_risk
#> NULL
#>