nb.OptimizeDispersion: (NB) model. The NB distribution is parametrized by two...

View source: R/optimnb.R

nb.OptimizeDispersionR Documentation

(NB) model. The NB distribution is parametrized by two parameters: the mean value and the dispersion of the negative binomial distribution

Description

(NB) model. The NB distribution is parametrized by two parameters: the mean value and the dispersion of the negative binomial distribution

Usage

nb.OptimizeDispersion(mu, Y, n)

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.


drisso/learn2count documentation built on July 15, 2024, 11:13 p.m.