For count data that is under-dispersed we can use a gamma distribution rounded
to the nearest whole number. This is the same as the method of discretisation
in make_gamma_ip, and suits delay distributions where there is less variability
than can be represented with a Poisson or negative binomial distribution.
Usage
rdiscgamma(n, mean, sd, kappa)
Arguments
- n
number of observations
- mean
the mean value on the true scale (vectorised)
- sd
the standard deviation on the true scale (vectorised)
- kappa
a coefficient of variation. where 0 is no variability and 1 is
maximally variability (vectorised)
Value
an integer valued vector from a gamma distribution.
Examples
rdiscgamma(10, 2, 1)
#> [1] 1 3 3 1 4 2 2 3 2 2
