(NB) model. The NB distribution is parametrized by two parameters: the mean value and the dispersion of the negative binomial distribution
Source:R/PCzinb_internal.R
nb.OptimizeDispersion.Rd(NB) model. The NB distribution is parametrized by two parameters: the mean value and the dispersion of the negative binomial distribution
Arguments
- mu
the vector mean of the negative binomial
- Y
the vector of counts
- n
the length of the vector to return Note that theta is sometimes called inverse dispersion parameter (and phi=1/theta is then called the dispersion parameter). We follow the convention that the variance of the NB variable with mean mu and dispersion theta is mu + mu^2/theta.