nb.OptimizeDispersion | R Documentation |
(NB) model. The NB distribution is parametrized by two parameters: the mean value and the dispersion of the negative binomial distribution
nb.OptimizeDispersion(mu, Y, n)
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. |
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