dispersion_params: Create a dispersion parameter object

In spmodel: Spatial Statistical Modeling and Prediction

Create a dispersion parameter object

Description

Create a dispersion parameter object for use with other functions.

Usage

dispersion_params(family, dispersion)

Arguments

family	The generalized linear model family describing the distribution of the response variable to be used. "poisson", "nbinomial", "binomial", "beta", "Gamma", and "inverse.gaussian".
dispersion	The value of the dispersion parameter.

Details

The variance function of an individual y (given \mu) for each generalized linear model family is given below:

• family: Var(y)

• poisson: \mu \phi

• nbinomial: \mu + \mu^2 / \phi

• binomial: n \mu (1 - \mu) \phi

• beta: \mu (1 - \mu) / (1 + \phi)

• Gamma: \mu^2 / \phi

• inverse.gaussian: \mu^2 / \phi

The parameter \phi is a dispersion parameter that influences Var(y). For the poisson and binomial families, \phi is always one. Note that this inverse Gaussian parameterization is different than a standard inverse Gaussian parameterization, which has variance \mu^3 / \lambda. Setting \phi = \lambda / \mu yields our parameterization, which is preferred for computational stability. Also note that the dispersion parameter is often defined in the literature as V(\mu) \phi, where V(\mu) is the variance function of the mean. We do not use this parameterization, which is important to recognize while interpreting dispersion parameter estimates using spglm() or spgautor(). For more on generalized linear model constructions, see McCullagh and Nelder (1989).

Value

A named numeric vector with class family containing the dispersion.

References

McCullagh P. and Nelder, J. A. (1989) Generalized Linear Models. London: Chapman and Hall.

Examples

dispersion_params("beta", dispersion = 1)

spmodel documentation built on July 3, 2025, 9:08 a.m.