Check if distribution in <epiparameter>
is continuous
Details
The <epiparameter>
class can hold <distribution>
and
<distcrete>
probability distribution objects from the distributional
package and the distcrete package, respectively. <distribution>
objects can be continuous or discrete distributions (e.g. gamma or negative
binomial), and all <distcrete>
objects are discrete.
Examples
ep <- epiparameter(
disease = "ebola",
epi_name = "incubation_period",
prob_distribution = create_prob_distribution(
prob_distribution = "lnorm",
prob_distribution_params = c(meanlog = 1, sdlog = 1)
)
)
#> Citation cannot be created as author, year, journal or title is missing
is_continuous(ep)
#> [1] TRUE
is_continuous(discretise(ep))
#> [1] FALSE
ep <- epiparameter(
disease = "ebola",
epi_name = "offspring distribution",
prob_distribution = create_prob_distribution(
prob_distribution = "nbinom",
prob_distribution_params = c(mean = 2, dispersion = 0.5)
)
)
#> Citation cannot be created as author, year, journal or title is missing
is_continuous(ep)
#> [1] FALSE