sim_linelist()Create a list of configuration settings for some details of sim_linelist()
create_config(...)A list of settings for sim_linelist().
<dynamic-dots> Named elements to replace
default settings. Only if names match exactly are elements replaced,
otherwise the function errors.
Accepted arguments and their defaults are:
last_contact_distributionA function to generate the
time for last contact. Default parameterisation is a Poisson
distribution with a \(\lambda\) of 3.
first_contact_distributionA function to generate the time
for the first contact. Default parameterisation is a Poisson
distribution with a \(\lambda\) of 3.
ct_distributionA function to generate Ct values for each
confirmed case. Default parameterisation is a Normal distribution with
a mean (\(\mu\)) of 25 and a standard deviation (\(\sigma\)) of 2.
networkA character string, either "adjusted" (default) or
"unadjusted".
time_varying_death_riskBy default is NULL, but can also accept
a function with two arguments, risk and time, to apply a
time varying death risk of hospitalised and non-hospitalised cases in
the outbreak simulation. See
vignette("time-varying-cfr", package = "simulist").
prob_maleBy default is 0.5, so there is a equal probability of
each case or contact being male or female. The value must be non-negative
and less than or equal to 1. Smaller values will result in a higher
probability of female contacts and cases (1 - prob_male).
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, as well as the probability of a case or contact being
male/female.
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 last_contact_distribution and first_contact_distribution can accept
any function that generates positive integers (e.g. discrete probability
distribution, rpois() or rgeom()). The ct_distribution can accept
any function that generates real numbers (e.g. continuous or discrete
probability distribution, rnorm(), rlnorm()).
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 \(p(n)\).
# example with default configuration
create_config()
# example with customised Ct distribution
create_config(
ct_distribution = function(n) rlnorm(n = n, meanlog = 2, sdlog = 1)
)
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