RNBinom: Simulate random number from the negative binomial...
In google/amss: Agreggate Marketing System Simulator

Description Usage Arguments Value

Generate random integers from the negative binomial distribution when possible within integer overflow constraints. Otherwise, approximate with the normal distribution.

1	RNBinom(n, size, prob, mu)

`n`	number of observations. If `length(n) > 1`, the length is taken to be the number required.
`size`	number of trials (zero or more). When `size` is a vector, the number of trials for each observation.
`prob`	probability of success on each trial. When `prob` is a vector, each entry refers to the probability of success for trials associated with the corresponding observation.
`mu`	alternative parametrization via mean: see 'Details' in documentation for `rnbinom()`.

Random numbers from the negative binomial distribution, or its normal approximation. The function will return a numeric value, rather than an integer.

google/amss documentation built on May 20, 2019, 5:05 p.m.