Use R studio

Here is an artificially constructed dataset. Pretend that you do not know the underlying distribution of these data.

set.seed(10) rawdata<-rnbinom(100, size = 10, prob = 0.2)

Suppose you think the negative binomial distribution is a good candidate. Please use the maximum likelihood estimation to get the estimated parameters for this distribution.