Identical to Gamma-Poisson Random Samples.
Usage
ran_neg_binom(n = 1, lambda = 1, theta = 0)
Arguments
- n
A non-negative whole number of the number of random samples to
generate.
- lambda
A non-negative numeric vector of means.
- theta
A non-negative numeric vector of the dispersion for the mixture
models (student, gamma-Poisson and beta-binomial).
Value
A numeric vector of the random samples.
See also
Other ran_dist:
ran_bern()
,
ran_beta_binom()
,
ran_binom()
,
ran_gamma()
,
ran_gamma_pois()
,
ran_gamma_pois_zi()
,
ran_lnorm()
,
ran_norm()
,
ran_pois()
,
ran_pois_zi()
,
ran_skewnorm()
,
ran_student()
Examples
ran_neg_binom(10, theta = 1)
#> [1] 0 3 3 2 0 2 0 3 1 5