Generalized Hermite distribution



Probability mass, distribution and quantile functions; random generation; and regression models for the generalized Hermite distribution.


Package: hermite
Type: Package
Version: 1.1.0
Date: 2015-03-24
License: GPL version 2 or newer
LazyLoad: yes

The package implements probability mass function dhermite, distribution function phermite, quantile function qhermite and random generation rhermite for the generalized Hermite distribution. The probability mass function is usually parametrized in terms of the mean μ and the index of dispersion d = \frac{σ^2}{μ}:

P(X=x) = P(X=0) \frac{μ^x (m-d)^x}{(m-1)^x} ∑_{j=0}^{[x/m]} \frac{(d-1)^j (m-1)^{(m-1)j}}{m^j μ^{(m-1)j} (m-d)^{mj} (x-mj)!j!} where P(X=0) = exp(μ (-1+ \frac{d-1}{m})), m is the degree of the generalized Poisson distribution and [x/m] is the integer part of x/m.

The package is able to fit Hermite regression models as well, by means of the function glm.hermite, also in the presence of covariates.


David Moriña, Manuel Higueras, Pedro Puig and María Oliveira

Mantainer: David Moriña Soler <>


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Puig P. (2003). Characterizing Additively Closed Discrete Models by a Property of Their Maximum Likelihood Estimators, with an Application to Generalized Hermite Distributions. Journal of the American Statistical Association 2003; 98:687–692.

See Also

Distributions for some other distributions, qhermite, phermite, rhermite, hermite-package, glm.hermite